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Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.mp4 48.38 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp4 38.55 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 34.58 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp4 33.2 MB
Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 32.54 MB
Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp4 32.51 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4 30.38 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp4 30.37 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4 29.33 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp4 28.67 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 28.37 MB
Part 03-Module 01-Lesson 07_Continuous Control/img/output.gif 28.28 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4 27.57 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 27.08 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4 26.9 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4 26.59 MB
Part 03-Module 01-Lesson 07_Continuous Control/img/image8.gif 26.54 MB
Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 26.5 MB
Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp4 25.67 MB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 25.04 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 24.88 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/10. M3 L5 10 A3C Asynchronous Advantage ActorCritic Offpolicy Vs Onpolicy V1-AZiy5R0DESU.mp4 23.31 MB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 21.79 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp4 21.37 MB
Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/06. M2L3 04 V1-QicxmyE5vTo.mp4 21.03 MB
Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets-SWpyiEezfp4.mp4 20.97 MB
Part 01-Module 01-Lesson 09_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.mp4 20.67 MB
Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 20.63 MB
Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies-hc3LrvaC13U.mp4 20.24 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation-UTGWVY6jEdg.mp4 20.08 MB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/04. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 19.85 MB
Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp4 17.45 MB
Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.mp4 17.37 MB
Part 03-Module 01-Lesson 04_Proximal Policy Optimization/07. pong with REINFORCE walkthrough-eKIjPrQWIgg.mp4 17.37 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/06. M3 L5 06 Policybased Valuebased And ActorCritic V1-iyin896PNEc.mp4 16.85 MB
Part 01-Module 01-Lesson 09_Temporal-Difference Methods/06. TD Control Sarsamax-4DxoYuR7aZ4.mp4 16.53 MB
Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/04. Unity Machine Learning Agents-jC12h4UAxqs.mp4 16.5 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 15.94 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.mp4 15.65 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/08. M3 L5 08 A3C Asynchronous Advantage ActorCritic V2-twNXFplIAP8.mp4 14.97 MB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.mp4 14.75 MB
Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. Jetson Overview-i56qM6NNW9A.mp4 14.64 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 14.62 MB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.mp4 14.3 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/09. Alphazero advanced tictactoe walkthrough-MOIk_BbCjRw.mp4 14.23 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.mp4 14.13 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/05. M3 L5 05 Baselines And Critics V1-wqmqoiUuQHI.mp4 14.04 MB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 13.81 MB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/17. M1 L6 S2 V1-6E_3NJcoxmU.mp4 13.76 MB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/09. MC Prediction - Solution Walkthrough-Pwiqk7Pncgc.mp4 13.73 MB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.17 MB
Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.16 MB
Part 08-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp4 12.76 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.mp4 12.55 MB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. MC Control Constant-alpha-QFV1nI9Zpoo.mp4 12.46 MB
Part 08-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp4 11.98 MB
Part 08-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp4 11.65 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/13. M3 L5 13 GAE Generalized Advantage Estimation V2-oLFocWp0dt0.mp4 11.33 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding-BRs7AnTZ_8k.mp4 11.03 MB
Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 10.64 MB
Part 08-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 10.49 MB
Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/04. M3L04 Advantages Of Reinforcemnt Learning For Trading RENDER V1-rqHL4BZocI8.mp4 10.36 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding-Uu1J5KLAfTU.mp4 10.3 MB
Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/output.gif 10.16 MB
Part 02-Module 01-Lesson 01_Study Plan/img/output.gif 10.16 MB
Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/output.gif 10.16 MB
Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/02. Career Services-cuKecPpZ7PM.mp4 10.12 MB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp4 10.07 MB
Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp4 9.98 MB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.mp4 9.96 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary-MTEBk43oByU.mp4 9.91 MB
Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/03. M3L603 Challenges Of Supervised Learning RENDER V1-_hAPnbDtteM.mp4 9.82 MB
Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/02. M3L602 High Frequency Trading HFT RENDER V2-oM1zZdZ-8fE.mp4 9.6 MB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp4 9.59 MB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4 9.51 MB
Part 03-Module 01-Lesson 03_Policy Gradient Methods/05. M3L3 C05 V2-o6CI2q3IXEs.mp4 9.15 MB
Part 02-Module 01-Lesson 02_Deep Q-Networks/img/sonic.gif 9.12 MB
Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/10. M3L611 Trading Lists SC V1-cGT-ADpHR74.mp4 9.04 MB
Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 8.93 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions-RdkPVYyVOvU.mp4 8.91 MB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/embedding.gif 8.74 MB
Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/09. M3L610 Almgren And Chriss Model SC V1-rokcEQ4LXbU.mp4 8.65 MB
Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications-CV6B84mKRNM.mp4 8.46 MB
Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/01. Welcome To DRLND-i1-l0n1ntes.mp4 8.4 MB
Part 03-Module 01-Lesson 04_Proximal Policy Optimization/13. Pong with PPO walkthrough-XhfhR7Z01S0.mp4 8.34 MB
Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/grad-descent.gif 8.3 MB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/03. L603 Monte Carlo Methods RENDER V3-2-titaMCRl224.mp4 8.29 MB
Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/11. M3L612 The Efficient Frontier V1-EwM7Ksbs-ds.mp4 8.25 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.mp4 8.14 MB
Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.1 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/17. M3L517 Summary HS 1 V1-rRuiMhijw_s.mp4 8.09 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/01. M3L501 Introduction HS 1 V1-_OHo1pEaJcQ.mp4 8.05 MB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.mp4 8.05 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/05. AlphaZero 1 Guided Tree Search-LinuRy47xbw.mp4 8.02 MB
Part 08-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp4 7.96 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/14. M3 L5 14 DDPG Deep Deterministic Policy Gradient Continuous Actionspace V1-0NVOPIyrr98.mp4 7.85 MB
Part 01-Module 01-Lesson 12_What's Next/01. Arpan Rollercoaster-Rf6cCYRqV58.mp4 7.81 MB
Part 08-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 7.76 MB
Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting-nh8Gwdu19nc.mp4 7.75 MB
Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization-ndYnUrx8xvs.mp4 7.57 MB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/chess-game.jpg 7.54 MB
Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/08. M3L609 Optimization SC PT4 V2-N2LP-wg1jEI.mp4 7.44 MB
Part 03-Module 01-Lesson 03_Policy Gradient Methods/01. M3L3 C01 V3-ZEhQRASU5O4.mp4 7.4 MB
Part 08-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.4 MB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.mp4 7.36 MB
Part 02-Module 01-Lesson 01_Study Plan/02. Deep RL in Robotics-IjG_IWJdb1w.mp4 7.29 MB
Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary-x6JggcDTcys.mp4 7.2 MB
Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 02 Welcome!-1oElWzRt-lU.mp4 7.16 MB
Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.mp4 7.11 MB
Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources-_YPqfAnCqtk.mp4 6.97 MB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 6.92 MB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.mp4 6.84 MB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.mp4 6.82 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/04. Monte Carlo Tree Search 2 - Expansion and Back-propagation-H34Wtk1iNDY.mp4 6.78 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/01. Alpha Zero Preview-Zzc1XJ1aJ-4.mp4 6.76 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/15. M3 L5 15 DDPG Deep Deterministic Policy Gradient Soft Updates V1-RT-HDnAVe9o.mp4 6.62 MB
Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.mp4 6.6 MB
Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation V2-1SmY3TZTyUk.mp4 6.52 MB
Part 03-Module 01-Lesson 03_Policy Gradient Methods/03. M3L3 C03 V2-dJz_p4FKE-g.mp4 6.52 MB
Part 03-Module 01-Lesson 03_Policy Gradient Methods/02. M3L3 C02 V6-zoOgRoaxGiU.mp4 6.51 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/02. M3 L5 02 Motivation V1-dpFPlDtdxyQ.mp4 6.46 MB
Part 06-Module 01-Lesson 01_Neural Networks/08. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.42 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/03. Monte Carlo Tree Search 1 - Random Sampling-wn2B3j_Qz6E.mp4 6.31 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction-ek2PD9RDrWw.mp4 6.18 MB
Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. 09 Jetson TX2 Edits V1-M26z7vTti_g.mp4 6.14 MB
Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6.09 MB
Part 08-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 6.03 MB
Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality-j231aRV74QM.mp4 5.99 MB
Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/09. M4 L2 C08 Cooperation Competition Mixed Environments A V1-vx6PIH5_oFg.mp4 5.87 MB
Part 02-Module 01-Lesson 02_Deep Q-Networks/10. 10 Prioritized Experience Replay V1-cN8z-7Ze9L8.mp4 5.86 MB
Part 08-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 5.85 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/04. M3 L5 04 Two Ways For Estimating Expected Returns V3-2W6yIBDvfsQ.mp4 5.84 MB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers-OkkIZNs7Cyc.mp4 5.82 MB
Part 06-Module 01-Lesson 01_Neural Networks/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 5.69 MB
Part 03-Module 01-Lesson 04_Proximal Policy Optimization/09. Importance Sampling-cYPvWriOPIk.mp4 5.69 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/03. M3 L5 03 Bias And Variance V2-_vnkkwm46uU.mp4 5.69 MB
Part 02-Module 01-Lesson 04_Navigation/img/bananas-save.gif 5.57 MB
Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.mp4 5.39 MB
Part 08-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4 5.37 MB
Part 06-Module 01-Lesson 01_Neural Networks/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.33 MB
Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/02. RL In The Real World-IGlAyGbOTHo.mp4 5.31 MB
Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.mp4 5.28 MB
Part 03-Module 01-Lesson 04_Proximal Policy Optimization/11. PPO Part 2 Clipping Policy Updates-NRzjGGX6c34.mp4 5.27 MB
Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/soccer.gif 5.22 MB
Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction-6jSFl5kxIBs.mp4 5.15 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/06. Alpha Zero 2 Self-Play Training-wl1qfPXqRuQ.mp4 5.14 MB
Part 08-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.13 MB
Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/08. M4 L2 C07 Approaches To MARL V1-uKV9AJykin0.mp4 5.06 MB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4 5.03 MB
Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/04. M3 L2 C04 V3-5E86a0OyVyI.mp4 4.97 MB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation-rITnmpD2mN8.mp4 4.95 MB
Part 06-Module 01-Lesson 01_Neural Networks/09. Model Complexity Graph-NnS0FJyVcDQ.mp4 4.9 MB
Part 04-Module 01-Lesson 03_Case Study AlphaZero/02. Zero-Sum Game-uPw1dHVqdXQ.mp4 4.86 MB
Part 02-Module 01-Lesson 02_Deep Q-Networks/01. DQN Overview-WgiAvr7COR0.mp4 4.85 MB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/04. L604 MC Prediction Part 1RENDER V2-6ts9gdIS6vg.mp4 4.76 MB
Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/05. M4 L2 C05 Benefits Of Multi Agent Systems V2-NXDv9cEZTaw.mp4 4.75 MB
Part 06-Module 01-Lesson 01_Neural Networks/03. Combinando modelos-Boy3zHVrWB4.mp4 4.73 MB
Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.mp4 4.69 MB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/12. L612 Epsilon Greedy Policies RENDER V4-PxJMtlR06MY.mp4 4.69 MB
Part 02-Module 01-Lesson 03_Deep RL for Robotics/01. 01 Introduction RENDER V2-dfeawuScC7k.mp4 4.65 MB
Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/06. M4 L2 C06 Markov Games 2 V1-Y9qq4Jqnwls.mp4 4.65 MB
Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/03. M4 L2 C03 Motivation For Multi Agent Systems V1-i_s22qgQYL4.mp4 4.61 MB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4 4.54 MB
Part 08-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.mp4 4.47 MB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.mp4 4.38 MB
Part 01-Module 01-Lesson 09_Temporal-Difference Methods/08. TD Control Expected Sarsa-kEKupCyU0P0.mp4 4.28 MB
Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp4 4.28 MB
Part 03-Module 01-Lesson 03_Policy Gradient Methods/04. M3L3 C04 V2-St9ftvMQ_ks.mp4 4.26 MB
Part 08-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4 4.26 MB
Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/01. M3 L2 C01 V2-mMnhi8yzwKk.mp4 4.23 MB
Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout-Ty6K6YiGdBs.mp4 4.22 MB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Dropout-Ty6K6YiGdBs.mp4 4.22 MB
Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/13. M4 L2 C11 Summary HS V1-yGPHGYHqjq8.mp4 4.2 MB
Part 01-Module 01-Lesson 04_Learning Plan/img/42135602-b0335606-7d12-11e8-8689-dd1cf9fa11a9.gif 4.18 MB
Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/banana.gif 4.16 MB
Part 02-Module 01-Lesson 04_Navigation/img/banana.gif 4.16 MB
Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.mp4 4.14 MB
Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/02. M4 L2 C02 Introduction To Multi Agent Systems V1-ra-w63kzq6I.mp4 4 MB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp4 3.99 MB
Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/reacher.gif 3.98 MB
Part 03-Module 01-Lesson 07_Continuous Control/img/reacher.gif 3.98 MB
Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 3.95 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/07. M3 L5 07 A Basic ActorCritic Agent V2-KdHQ24hBKho.mp4 3.95 MB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.mp4 3.86 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/09. M3 L5 09 A3C Asynchronous Advantage ActorCritic Parallel Training V2-kKRbAKhjACo.mp4 3.77 MB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.72 MB
Part 03-Module 01-Lesson 05_Actor-Critic Methods/11. M3 L5 11 A2C Advantage ActorCritic V2-fIWe3xA97DA.mp4 3.62 MB
Part 08-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4 3.58 MB
Part 02-Module 01-Lesson 02_Deep Q-Networks/01. From RL to Deep RL-7HLJ0uaR1F0.mp4 3.54 MB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.24-pm.png 3.49 MB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4 3.49 MB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.mp4 3.46 MB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/02. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.mp4 3.46 MB
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Part 06-Module 01-Lesson 01_Neural Networks/07. Testing-EeBZpb-PSac.mp4 2 MB
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Part 06-Module 01-Lesson 01_Neural Networks/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.72 MB
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Part 08-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp4 1.63 MB
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Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/t-sne-mnist.png 1.32 MB
Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient-W_JJm_5syFw.mp4 1.32 MB
Part 02-Module 01-Lesson 04_Navigation/img/2018-02-27-16-05-37.gif 1.31 MB
Part 03-Module 01-Lesson 07_Continuous Control/img/2018-02-27-16-05-37.gif 1.31 MB
Part 04-Module 01-Lesson 04_Collaboration and Competition/img/2018-02-27-16-05-37.gif 1.31 MB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-04-at-2.49.48-pm.png 1.27 MB
Part 01-Module 01-Lesson 12_What's Next/img/dqn.png 1.23 MB
Part 03-Module 01-Lesson 04_Proximal Policy Optimization/12. TLPPO Summary V1-qRAUAAWA_kc.mp4 1.23 MB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-04-at-2.51.59-pm.png 1.2 MB
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Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/mjg2mzcyma.gif 1.16 MB
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Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-04-at-6.14.28-pm.png 1.11 MB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2018-05-04-at-3.14.47-pm.png 1.09 MB
Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-04-at-6.14.42-pm.png 1.05 MB
Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/screen-shot-2018-05-04-at-6.14.56-pm.png 1.05 MB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. L617 Constant Alpha Edits RENDER V1-LetHoOtNdJc.mp4 1.05 MB
Part 06-Module 01-Lesson 01_Neural Networks/img/luis-circle.png 1.04 MB
Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.mp4 1.01 MB
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Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks-zAkzOZntK6Y.mp4 982.27 KB
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Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/open-terminal.gif 819.23 KB
Part 04-Module 01-Lesson 04_Collaboration and Competition/img/soccer.png 801.98 KB
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Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/screen-shot-2018-07-06-at-11.33.53-am.png 759.46 KB
Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/img/get-hired-with-the-udacity-career-portal.gif 756.73 KB
Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-02-23-at-5.00.25-pm.png 754.27 KB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-23-at-8.35.17-pm.png 736.49 KB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-5.08.36-pm.png 720.21 KB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-10-04-at-4.58.58-pm.png 716 KB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6509638772.gif 711.08 KB
Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/qtable2.png 671.11 KB
Part 03-Module 01-Lesson 07_Continuous Control/img/crawler.png 638.11 KB
Part 05-Module 01-Lesson 01_Dynamic Programming/img/actionvalue.png 628.42 KB
Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-24-at-4.28.04-pm.png 622.69 KB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/go.jpg 614.8 KB
Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/profile-pics.jpg 595.62 KB
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Part 03-Module 01-Lesson 03_Policy Gradient Methods/img/screen-shot-2018-07-27-at-2.25.43-pm.png 550.79 KB
Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.59.16-pm.png 529.19 KB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-23-at-8.35.25-pm.png 518.22 KB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-06-at-4.54.39-pm.png 494.36 KB
Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/armenv.png 484.79 KB
Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-08-31-at-3.27.10-pm.png 463.09 KB
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Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6485174133.gif 458.07 KB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-12.47.51-pm.png 450.92 KB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6499079068.gif 445.94 KB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/6551597473.gif 444.36 KB
Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2017-11-26-at-9.38.24-am.png 440.9 KB
Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/image4.png 436.47 KB
Part 02-Module 01-Lesson 02_Deep Q-Networks/img/screen-shot-2018-06-30-at-6.40.09-pm.png 427.4 KB
Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2017-11-26-at-9.55.20-am.png 414.22 KB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/cezanne-circle.png 411.21 KB
Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-09-26-at-2.18.38-pm.png 405.83 KB
Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/game-example.gif 399.55 KB
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Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-12.35.07-pm.png 391.75 KB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/screen-shot-2018-04-24-at-5.08.30-pm.png 388.86 KB
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/img/mat-leonard-circle.png 384.91 KB
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/img/mat-leonard-circle.png 384.91 KB
Part 05-Module 01-Lesson 01_Dynamic Programming/img/value-iteration.png 381.24 KB
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Part 01-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.50-pm.png 375.54 KB
Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/episode.png 373.92 KB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/arpan-headshot.png 370.47 KB
Part 02-Module 01-Lesson 02_Deep Q-Networks/img/rainbow-1445337690d8q.jpg 370.29 KB
Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/qtable.png 368.97 KB
Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-10.23.07-pm.png 366.06 KB
Part 02-Module 01-Lesson 04_Navigation/img/screen-shot-2018-06-08-at-1.04.47-pm.png 347.48 KB
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Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/img/cartpole.gif 327.08 KB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/alexis.jpg 313.46 KB
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Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2018-01-08-at-5.38.03-am.png 276.13 KB
Part 05-Module 01-Lesson 01_Dynamic Programming/img/truncated-iter.png 274 KB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/screen-shot-2017-10-04-at-5.01.26-pm.png 271.87 KB
Part 05-Module 01-Lesson 01_Dynamic Programming/img/policy-eval.png 259.66 KB
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Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/img/screen-shot-2018-06-12-at-5.07.10-pm.png 257.46 KB
Part 02-Module 01-Lesson 03_Deep RL for Robotics/img/rl-gazebo-fall.png 256.59 KB
Part 01-Module 01-Lesson 09_Temporal-Difference Methods/img/matengai-of-kuniga-coast-in-oki-island-shimane-pref600.jpg 247.02 KB
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Part 07-Module 01-Lesson 01_Cloud Computing/img/ud272-l2-16-10-aws-account.png 241.52 KB
Part 05-Module 01-Lesson 01_Dynamic Programming/img/iteration.png 241.36 KB
Part 01-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.34-pm.png 238.98 KB
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Part 05-Module 01-Lesson 01_Dynamic Programming/img/truncated-eval.png 225.19 KB
Part 03-Module 01-Lesson 07_Continuous Control/img/screen-shot-2018-07-11-at-11.19.56-am.png 224.55 KB
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Part 05-Module 01-Lesson 01_Dynamic Programming/img/screen-shot-2017-09-26-at-4.22.09-pm.png 219.33 KB
Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-12.20.50-pm.png 210.59 KB
Part 01-Module 01-Lesson 08_Monte Carlo Methods/img/exploration-vs.-exploitation.png 204.28 KB
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Part 01-Module 01-Lesson 06_The RL Framework The Problem/img/screen-shot-2017-09-21-at-12.20.30-pm.png 203.11 KB
Part 01-Module 01-Lesson 07_The RL Framework The Solution/img/screen-shot-2017-09-21-at-12.20.30-pm.png 203.11 KB
Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-02-23-at-5.11.40-pm.png 200.67 KB
Part 07-Module 01-Lesson 01_Cloud Computing/img/screen-shot-2017-06-13-at-12.58.03-pm.png 196.32 KB
Part 02-Module 01-Lesson 02_Deep Q-Networks/img/screen-shot-2018-06-30-at-7.03.40-pm.png 193.87 KB
Part 07-Module 01-Lesson 01_Cloud Computing/img/p2-limit-increase.png 188.22 KB
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Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task/img/new-tab.gif 181.31 KB
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Part 06-Module 01-Lesson 02_Convolutional Neural Networks/img/vgg-16.png 172.87 KB
Part 02-Module 01-Lesson 04_Navigation/img/849-1234251683jkyt.jpg 161.07 KB
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Part 04-Module 01-Lesson 04_Collaboration and Competition/img/849-1234251683jkyt.jpg 161.07 KB
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Part 05-Module 01-Lesson 01_Dynamic Programming/img/est-action.png 150.55 KB
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Part 01-Module 01-Lesson 11_RL in Continuous Spaces/img/poker-hand-3-of-a-kind.png 128.64 KB
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Part 02-Module 01-Lesson 02_Deep Q-Networks/img/dueling-q-network.png 109.37 KB
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Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/Project Rubric - Optimize Your GitHub Profile.html 8.78 KB
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Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/04. Projects You Will Build.html 8.64 KB
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Part 06-Module 01-Lesson 02_Convolutional Neural Networks/06. Notebook Visualizing a Convolutional Layer.html 7.88 KB
Part 06-Module 01-Lesson 02_Convolutional Neural Networks/13. Notebook Fashion MNIST Training Exercise.html 7.88 KB
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Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/11. Boost Your Visibility.html 7.68 KB
Part 02-Module 01-Lesson 03_Deep RL for Robotics/08. Arm Sample.html 7.66 KB
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Part 03-Module 01-Lesson 03_Policy Gradient Methods/02. The Big Picture.html 7.58 KB
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Part 03-Module 01-Lesson 07_Continuous Control/08. General Advice.html 7.34 KB
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Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/Project Description - Improve Your LinkedIn Profile.html 7.27 KB
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Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/12. Up Next.html 7.22 KB
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Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt 1.02 KB
Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima-gF_sW_nY-xw.zh-CN.vtt 1.01 KB
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Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.en.vtt 1003 B
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Part 02-Module 01-Lesson 03_Deep RL for Robotics/10. 10 Summary HS V3-cb1FGgZIitc.en.vtt 914 B
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Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.ar.vtt 768 B
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Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/01. M4 L2 C01 Introducing Chhavi HS V1-imuw8tOMed4.en.vtt 500 B
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