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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
441б |
| 1 |
241.40Кб |
| 1.1 Reinforcement Learning Complete.pptx |
5.18Мб |
| 1.1 Reinforcement Learning Introduction.pptx |
116.93Кб |
| 1. Frozenlake 1.mp4 |
8.91Мб |
| 1. Frozenlake 1.srt |
2.46Кб |
| 1. Introduction to Course and Instructor.mp4 |
18.92Мб |
| 1. Introduction to Course and Instructor.srt |
5.47Кб |
| 1. Markov Property.mp4 |
20.48Мб |
| 1. Markov Property.srt |
4.78Кб |
| 1. MDP Recap.mp4 |
11.53Мб |
| 1. MDP Recap.srt |
2.46Кб |
| 1. MOR Quiz 1.mp4 |
18.03Мб |
| 1. MOR Quiz 1.srt |
3.78Кб |
| 1. N Step Look a Head.mp4 |
21.90Мб |
| 1. N Step Look a Head.srt |
3.65Кб |
| 1. Probability.mp4 |
23.78Мб |
| 1. Probability.srt |
4.24Кб |
| 1. Running Average.mp4 |
31.89Мб |
| 1. Running Average.srt |
5.84Кб |
| 1. Setup 1.mp4 |
16.64Мб |
| 1. Setup 1.srt |
3.85Кб |
| 1. What does it mean that MDP is Unknown.mp4 |
11.77Мб |
| 1. What does it mean that MDP is Unknown.srt |
3.47Кб |
| 1. What is Environment.mp4 |
21.83Мб |
| 1. What is Environment.srt |
3.74Кб |
| 1. What is Reinforcement Learning.mp4 |
33.98Мб |
| 1. What is Reinforcement Learning.srt |
11.46Кб |
| 10 |
1005.73Кб |
| 10.1 QLearning_MAPROVER.ipynb |
6.81Кб |
| 10. Conditional Expectation.mp4 |
13.42Мб |
| 10. Conditional Expectation.srt |
3.33Кб |
| 10. GridWorld Summary.mp4 |
27.11Мб |
| 10. GridWorld Summary.srt |
6.90Кб |
| 10. Q-Learning Implementation for MAPROVER Clipped.mp4 |
119.77Мб |
| 10. Q-Learning Implementation for MAPROVER Clipped.srt |
26.22Кб |
| 10. Summary.mp4 |
50.02Мб |
| 10. Summary.srt |
10.27Кб |
| 10. Value Iteration Solution Activity Value Iteration Python.mp4 |
33.87Мб |
| 10. Value Iteration Solution Activity Value Iteration Python.srt |
5.78Кб |
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| 11 |
950.09Кб |
| 11. Activity.mp4 |
7.20Мб |
| 11. Activity.srt |
851б |
| 11. Modeling Uncertainity of Environment.mp4 |
29.06Мб |
| 11. Modeling Uncertainity of Environment.srt |
4.95Кб |
| 11. Problems of Value Iteration.mp4 |
29.47Мб |
| 11. Problems of Value Iteration.srt |
7.20Кб |
| 11. SARSA MAPRover Activity.mp4 |
5.56Мб |
| 11. SARSA MAPRover Activity.srt |
643б |
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243.75Кб |
| 12. Modeling Uncertainity of Environment 2.mp4 |
23.20Мб |
| 12. Modeling Uncertainity of Environment 2.srt |
4.45Кб |
| 12. Policy Evaluation.mp4 |
37.44Мб |
| 12. Policy Evaluation.srt |
9.21Кб |
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1022.25Кб |
| 13. Modeling Uncertainity of Environment 3.mp4 |
21.31Мб |
| 13. Modeling Uncertainity of Environment 3.srt |
2.98Кб |
| 13. Policy Evaluation 2.mp4 |
24.68Мб |
| 13. Policy Evaluation 2.srt |
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| 14 |
149.64Кб |
| 14. Modeling Uncertainity of Environment Stochastic Policy.mp4 |
21.84Мб |
| 14. Modeling Uncertainity of Environment Stochastic Policy.srt |
3.81Кб |
| 14. Policy Evaluation 3.mp4 |
29.09Мб |
| 14. Policy Evaluation 3.srt |
5.76Кб |
| 15 |
867.23Кб |
| 15. Modeling Uncertainity of Environment Stochastic Policy 2.mp4 |
18.59Мб |
| 15. Modeling Uncertainity of Environment Stochastic Policy 2.srt |
2.44Кб |
| 15. Policy Evaluation Closed Form Solution.mp4 |
18.22Мб |
| 15. Policy Evaluation Closed Form Solution.srt |
5.03Кб |
| 16 |
914.45Кб |
| 16. Modeling Uncertainity of Environment Value Functions.mp4 |
49.07Мб |
| 16. Modeling Uncertainity of Environment Value Functions.srt |
9.66Кб |
| 16. Policy Evaluation ClosedFormSolution Activity Policy Evaluation Python.mp4 |
18.64Мб |
| 16. Policy Evaluation ClosedFormSolution Activity Policy Evaluation Python.srt |
4.14Кб |
| 17 |
449.95Кб |
| 17. Policy Iteration.mp4 |
34.86Мб |
| 17. Policy Iteration.srt |
9.36Кб |
| 17. Running Averages.mp4 |
7.04Мб |
| 17. Running Averages.srt |
1.70Кб |
| 18 |
930.51Кб |
| 18. Policy Iteration Activity Policy Iteration Python.mp4 |
14.10Мб |
| 18. Policy Iteration Activity Policy Iteration Python.srt |
2.71Кб |
| 18. Running Averages 2.mp4 |
19.92Мб |
| 18. Running Averages 2.srt |
5.63Кб |
| 19 |
357.45Кб |
| 19. Running Averages as Temporal Difference.mp4 |
20.99Мб |
| 19. Running Averages as Temporal Difference.srt |
4.57Кб |
| 19. State Action Values.mp4 |
34.33Мб |
| 19. State Action Values.srt |
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| 2 |
857.39Кб |
| 2.1 FrozenLake-gym.ipynb |
6.22Кб |
| 2. Formulation.mp4 |
23.57Мб |
| 2. Formulation.srt |
4.44Кб |
| 2. Frozenlake Implementation.mp4 |
112.22Мб |
| 2. Frozenlake Implementation.srt |
23.00Кб |
| 2. Learning Rate.mp4 |
46.11Мб |
| 2. Learning Rate.srt |
7.96Кб |
| 2. Link to oneDrive and Github to get the Python Notebooks.html |
1.04Кб |
| 2. MOR Quiz Solution 1.mp4 |
40.53Мб |
| 2. MOR Quiz Solution 1.srt |
8.89Кб |
| 2. Probability 2.mp4 |
40.32Мб |
| 2. Probability 2.srt |
6.09Кб |
| 2. Setup 2.mp4 |
30.44Мб |
| 2. Setup 2.srt |
6.23Кб |
| 2. State Space.mp4 |
23.98Мб |
| 2. State Space.srt |
4.59Кб |
| 2. Value Functions.mp4 |
24.33Мб |
| 2. Value Functions.srt |
5.99Кб |
| 2. What is Environment_2.mp4 |
43.65Мб |
| 2. What is Environment_2.srt |
6.43Кб |
| 2. What is Reinforcement Learning Hiders and Seekers by OpenAI.mp4 |
72.25Мб |
| 2. What is Reinforcement Learning Hiders and Seekers by OpenAI.srt |
8.08Кб |
| 2. Why Transition Probabilities are Important.mp4 |
20.98Мб |
| 2. Why Transition Probabilities are Important.srt |
3.79Кб |
| 20 |
825.26Кб |
| 20. Activity.mp4 |
7.82Мб |
| 20. Activity.srt |
1.60Кб |
| 20. V and Q Comparisons.mp4 |
19.57Мб |
| 20. V and Q Comparisons.srt |
6.39Кб |
| 21 |
484.36Кб |
| 22 |
693.72Кб |
| 23 |
709.96Кб |
| 24 |
451.94Кб |
| 25 |
572.57Кб |
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292.84Кб |
| 27 |
888.94Кб |
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498.99Кб |
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147.58Кб |
| 3 |
770.40Кб |
| 3. Action Space.mp4 |
21.62Мб |
| 3. Action Space.srt |
4.08Кб |
| 3. Activity TD Learning Rate Python.mp4 |
23.78Мб |
| 3. Activity TD Learning Rate Python.srt |
5.59Кб |
| 3. Implementation Frozen Lake Numpy Activity.mp4 |
5.74Мб |
| 3. Implementation Frozen Lake Numpy Activity.srt |
1.12Кб |
| 3. Model Based Solutions.mp4 |
20.17Мб |
| 3. Model Based Solutions.srt |
5.09Кб |
| 3. MOR Quiz 2.mp4 |
17.35Мб |
| 3. MOR Quiz 2.srt |
3.33Кб |
| 3. Optimal Value Function.mp4 |
26.84Мб |
| 3. Optimal Value Function.srt |
5.53Кб |
| 3. Probability 3.mp4 |
30.47Мб |
| 3. Probability 3.srt |
4.42Кб |
| 3. RL vs Other ML Frameworks.mp4 |
59.29Мб |
| 3. RL vs Other ML Frameworks.srt |
10.68Кб |
| 3. Setup 3.mp4 |
51.78Мб |
| 3. Setup 3.srt |
8.54Кб |
| 3. Values.mp4 |
15.29Мб |
| 3. Values.srt |
3.29Кб |
| 3. What is Agent.mp4 |
38.31Мб |
| 3. What is Agent.srt |
6.18Кб |
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680.98Кб |
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137.92Кб |
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529.02Кб |
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319.09Кб |
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545.80Кб |
| 4 |
727.92Кб |
| 4. Conditional Probability.mp4 |
42.19Мб |
| 4. Conditional Probability.srt |
6.56Кб |
| 4. Learning Equation.mp4 |
26.29Мб |
| 4. Learning Equation.srt |
4.25Кб |
| 4. Model Free Solutions.mp4 |
16.92Мб |
| 4. Model Free Solutions.srt |
2.88Кб |
| 4. MOR Quiz Solution 2.mp4 |
31.03Мб |
| 4. MOR Quiz Solution 2.srt |
5.98Кб |
| 4. Optimal Policy.mp4 |
25.51Мб |
| 4. Optimal Policy.srt |
6.49Кб |
| 4. Policy Comparison.mp4 |
46.15Мб |
| 4. Policy Comparison.srt |
10.49Кб |
| 4. TD Eligibility Trace.mp4 |
19.41Мб |
| 4. TD Eligibility Trace.srt |
4.08Кб |
| 4. THANK YOU.mp4 |
29.78Мб |
| 4. THANK YOU.srt |
2.64Кб |
| 4. Transition Probabilities.mp4 |
21.47Мб |
| 4. Transition Probabilities.srt |
4.35Кб |
| 4. What is State.mp4 |
36.13Мб |
| 4. What is State.srt |
6.57Кб |
| 4. Why Reinforcement Learning.mp4 |
25.83Мб |
| 4. Why Reinforcement Learning.srt |
4.73Кб |
| 40 |
573.73Кб |
| 41 |
225.84Кб |
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80.07Кб |
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| 5 |
920.11Кб |
| 5. Bellman Equation.mp4 |
30.69Мб |
| 5. Bellman Equation.srt |
6.76Кб |
| 5. Conditional Probability Fun Example.mp4 |
36.71Мб |
| 5. Conditional Probability Fun Example.srt |
6.71Кб |
| 5. Deterministic Environment.mp4 |
44.09Мб |
| 5. Deterministic Environment.srt |
8.99Кб |
| 5. Examples of Reinforcement Learning.mp4 |
19.96Мб |
| 5. Examples of Reinforcement Learning.srt |
6.06Кб |
| 5. Monte-Carlo Learning.mp4 |
25.63Мб |
| 5. Monte-Carlo Learning.srt |
4.63Кб |
| 5. MOR Reward Scaling.mp4 |
31.41Мб |
| 5. MOR Reward Scaling.srt |
6.33Кб |
| 5. Reward Function.mp4 |
25.49Мб |
| 5. Reward Function.srt |
4.79Кб |
| 5. State Belongs to Environment and not to Agent.mp4 |
44.56Мб |
| 5. State Belongs to Environment and not to Agent.srt |
5.94Кб |
| 5. TD Algorithm.mp4 |
29.73Мб |
| 5. TD Algorithm.srt |
4.32Кб |
| 5. TD Q-Learning TD Lambda.mp4 |
32.47Мб |
| 5. TD Q-Learning TD Lambda.srt |
6.43Кб |
| 50 |
910.52Кб |
| 51 |
160.69Кб |
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174.53Кб |
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518.23Кб |
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331.07Кб |
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681.25Кб |
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15.46Кб |
| 6 |
932.40Кб |
| 6. Discount Factor.mp4 |
20.54Мб |
| 6. Discount Factor.srt |
4.56Кб |
| 6. Exploration vs Exploitation.mp4 |
14.42Мб |
| 6. Exploration vs Exploitation.srt |
2.78Кб |
| 6. Joint Probability.mp4 |
17.66Мб |
| 6. Joint Probability.srt |
4.00Кб |
| 6. Limitations of Reinforcement Learning.mp4 |
53.06Мб |
| 6. Limitations of Reinforcement Learning.srt |
10.25Кб |
| 6. Monte-Carlo Learning Example.mp4 |
59.10Мб |
| 6. Monte-Carlo Learning Example.srt |
11.36Кб |
| 6. MOR Infinite Horizons.mp4 |
29.07Мб |
| 6. MOR Infinite Horizons.srt |
8.22Кб |
| 6. Stochastic Environment.mp4 |
46.85Мб |
| 6. Stochastic Environment.srt |
9.83Кб |
| 6. TD Q Learning TD Lambda TD(Lambda) MAPRover Activity.mp4 |
5.61Мб |
| 6. TD Q Learning TD Lambda TD(Lambda) MAPRover Activity.srt |
1.08Кб |
| 6. Value Iteration.mp4 |
22.35Мб |
| 6. Value Iteration.srt |
4.58Кб |
| 6. What is Action.mp4 |
33.48Мб |
| 6. What is Action.srt |
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| 7 |
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| 7. Epsilon Greedy Policy.mp4 |
16.27Мб |
| 7. Epsilon Greedy Policy.srt |
3.51Кб |
| 7. Joint probability 2.mp4 |
18.88Мб |
| 7. Joint probability 2.srt |
4.38Кб |
| 7. Monte-Carlo Learning Limitations.mp4 |
18.35Мб |
| 7. Monte-Carlo Learning Limitations.srt |
3.47Кб |
| 7. MOR Quiz 3.mp4 |
14.86Мб |
| 7. MOR Quiz 3.srt |
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| 7. Request for Your Honest Review.mp4 |
28.92Мб |
| 7. Request for Your Honest Review.srt |
2.52Кб |
| 7. Stochastic Environment 2.mp4 |
21.54Мб |
| 7. Stochastic Environment 2.srt |
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| 7. Summary.mp4 |
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| 7. Summary.srt |
4.95Кб |
| 7. Value Iteration Quiz.mp4 |
21.02Мб |
| 7. Value Iteration Quiz.srt |
3.74Кб |
| 7. What is Reward.mp4 |
58.86Мб |
| 7. What is Reward.srt |
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| 8. Activity.mp4 |
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| 8. Activity.srt |
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| 8. Exercises.mp4 |
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| 8. Exercises.srt |
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| 8. Goal.mp4 |
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| 8. Goal.srt |
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| 8. Joint Probability 3.mp4 |
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| 8. Joint Probability 3.srt |
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| 8. MOR Quiz Solution 3.mp4 |
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| 8. MOR Quiz Solution 3.srt |
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| 8. SARSA.mp4 |
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| 8. SARSA.srt |
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| 8. Stochastic Environment 3.mp4 |
48.76Мб |
| 8. Stochastic Environment 3.srt |
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| 8. Value Iteration Quiz Gamma Missing.mp4 |
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| 8. Value Iteration Quiz Gamma Missing.srt |
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| 9. Expected Value.mp4 |
35.51Мб |
| 9. Expected Value.srt |
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| 9. Non Stationary Environment.mp4 |
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| 9. Non Stationary Environment.srt |
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| 9. Policy.mp4 |
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| 9. Policy.srt |
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| 9. Q-Learning.mp4 |
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| 9. Q-Learning.srt |
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| 9. Value Iteration Solution.mp4 |
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| 9. Value Iteration Solution.srt |
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| TutsNode.com.txt |
63б |