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[TGx]Downloaded from torrentgalaxy.to .txt |
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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 |
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1. Markov Property.mp4 |
20.48Мб |
1. Markov Property.srt |
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1. MDP Recap.mp4 |
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1. MDP Recap.srt |
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1. MOR Quiz 1.mp4 |
18.03Мб |
1. MOR Quiz 1.srt |
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1. N Step Look a Head.mp4 |
21.90Мб |
1. N Step Look a Head.srt |
3.65Кб |
1. Probability.mp4 |
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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 |
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1. What does it mean that MDP is Unknown.srt |
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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 |
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10.1 QLearning_MAPROVER.ipynb |
6.81Кб |
10. Conditional Expectation.mp4 |
13.42Мб |
10. Conditional Expectation.srt |
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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 |
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10. Summary.mp4 |
50.02Мб |
10. Summary.srt |
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10. Value Iteration Solution Activity Value Iteration Python.mp4 |
33.87Мб |
10. Value Iteration Solution Activity Value Iteration Python.srt |
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11. Activity.mp4 |
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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 |
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11. SARSA MAPRover Activity.mp4 |
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11. SARSA MAPRover Activity.srt |
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12. Modeling Uncertainity of Environment 2.mp4 |
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12. Modeling Uncertainity of Environment 2.srt |
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12. Policy Evaluation.mp4 |
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12. Policy Evaluation.srt |
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13. Modeling Uncertainity of Environment 3.mp4 |
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13. Modeling Uncertainity of Environment 3.srt |
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13. Policy Evaluation 2.mp4 |
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13. Policy Evaluation 2.srt |
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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 |
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15. Modeling Uncertainity of Environment Stochastic Policy 2.mp4 |
18.59Мб |
15. Modeling Uncertainity of Environment Stochastic Policy 2.srt |
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15. Policy Evaluation Closed Form Solution.mp4 |
18.22Мб |
15. Policy Evaluation Closed Form Solution.srt |
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16. Modeling Uncertainity of Environment Value Functions.mp4 |
49.07Мб |
16. Modeling Uncertainity of Environment Value Functions.srt |
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16. Policy Evaluation ClosedFormSolution Activity Policy Evaluation Python.mp4 |
18.64Мб |
16. Policy Evaluation ClosedFormSolution Activity Policy Evaluation Python.srt |
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17. Policy Iteration.mp4 |
34.86Мб |
17. Policy Iteration.srt |
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17. Running Averages.mp4 |
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17. Running Averages.srt |
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18. Policy Iteration Activity Policy Iteration Python.mp4 |
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18. Policy Iteration Activity Policy Iteration Python.srt |
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18. Running Averages 2.mp4 |
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18. Running Averages 2.srt |
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19. Running Averages as Temporal Difference.mp4 |
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19. Running Averages as Temporal Difference.srt |
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19. State Action Values.mp4 |
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19. State Action Values.srt |
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2.1 FrozenLake-gym.ipynb |
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2. Formulation.mp4 |
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2. Formulation.srt |
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2. Frozenlake Implementation.mp4 |
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2. Frozenlake Implementation.srt |
23.00Кб |
2. Learning Rate.mp4 |
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2. Learning Rate.srt |
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2. Link to oneDrive and Github to get the Python Notebooks.html |
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2. MOR Quiz Solution 1.mp4 |
40.53Мб |
2. MOR Quiz Solution 1.srt |
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2. Probability 2.mp4 |
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2. Probability 2.srt |
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2. Setup 2.mp4 |
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2. Setup 2.srt |
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2. State Space.mp4 |
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2. State Space.srt |
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2. Value Functions.mp4 |
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2. Value Functions.srt |
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2. What is Environment_2.mp4 |
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2. What is Environment_2.srt |
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2. What is Reinforcement Learning Hiders and Seekers by OpenAI.mp4 |
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2. What is Reinforcement Learning Hiders and Seekers by OpenAI.srt |
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2. Why Transition Probabilities are Important.mp4 |
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2. Why Transition Probabilities are Important.srt |
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20. Activity.mp4 |
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20. Activity.srt |
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20. V and Q Comparisons.mp4 |
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20. V and Q Comparisons.srt |
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3. Action Space.mp4 |
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3. Action Space.srt |
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3. Activity TD Learning Rate Python.mp4 |
23.78Мб |
3. Activity TD Learning Rate Python.srt |
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3. Implementation Frozen Lake Numpy Activity.mp4 |
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3. Implementation Frozen Lake Numpy Activity.srt |
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3. Model Based Solutions.mp4 |
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3. Model Based Solutions.srt |
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3. MOR Quiz 2.mp4 |
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3. MOR Quiz 2.srt |
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3. Optimal Value Function.mp4 |
26.84Мб |
3. Optimal Value Function.srt |
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3. Probability 3.mp4 |
30.47Мб |
3. Probability 3.srt |
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3. RL vs Other ML Frameworks.mp4 |
59.29Мб |
3. RL vs Other ML Frameworks.srt |
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3. Setup 3.mp4 |
51.78Мб |
3. Setup 3.srt |
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3. Values.mp4 |
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3. Values.srt |
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3. What is Agent.mp4 |
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3. What is Agent.srt |
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4. Conditional Probability.mp4 |
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4. Conditional Probability.srt |
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4. Learning Equation.mp4 |
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4. Learning Equation.srt |
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4. Model Free Solutions.mp4 |
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4. Model Free Solutions.srt |
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4. MOR Quiz Solution 2.mp4 |
31.03Мб |
4. MOR Quiz Solution 2.srt |
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4. Optimal Policy.mp4 |
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4. Optimal Policy.srt |
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4. Policy Comparison.mp4 |
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4. Policy Comparison.srt |
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4. TD Eligibility Trace.mp4 |
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4. TD Eligibility Trace.srt |
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4. THANK YOU.mp4 |
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4. THANK YOU.srt |
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4. Transition Probabilities.mp4 |
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4. Transition Probabilities.srt |
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4. What is State.mp4 |
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4. What is State.srt |
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4. Why Reinforcement Learning.mp4 |
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4. Why Reinforcement Learning.srt |
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5. Bellman Equation.mp4 |
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5. Bellman Equation.srt |
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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 |
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5. Examples of Reinforcement Learning.mp4 |
19.96Мб |
5. Examples of Reinforcement Learning.srt |
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5. Monte-Carlo Learning.mp4 |
25.63Мб |
5. Monte-Carlo Learning.srt |
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5. MOR Reward Scaling.mp4 |
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5. MOR Reward Scaling.srt |
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5. Reward Function.mp4 |
25.49Мб |
5. Reward Function.srt |
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5. State Belongs to Environment and not to Agent.mp4 |
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5. State Belongs to Environment and not to Agent.srt |
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5. TD Algorithm.mp4 |
29.73Мб |
5. TD Algorithm.srt |
4.32Кб |
5. TD Q-Learning TD Lambda.mp4 |
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5. TD Q-Learning TD Lambda.srt |
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6. Discount Factor.mp4 |
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6. Discount Factor.srt |
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6. Exploration vs Exploitation.mp4 |
14.42Мб |
6. Exploration vs Exploitation.srt |
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6. Joint Probability.mp4 |
17.66Мб |
6. Joint Probability.srt |
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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 |
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6. Stochastic Environment.mp4 |
46.85Мб |
6. Stochastic Environment.srt |
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6. TD Q Learning TD Lambda TD(Lambda) MAPRover Activity.mp4 |
5.61Мб |
6. TD Q Learning TD Lambda TD(Lambda) MAPRover Activity.srt |
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6. Value Iteration.mp4 |
22.35Мб |
6. Value Iteration.srt |
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6. What is Action.mp4 |
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6. What is Action.srt |
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7. Epsilon Greedy Policy.mp4 |
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7. Epsilon Greedy Policy.srt |
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7. Joint probability 2.mp4 |
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7. Joint probability 2.srt |
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7. Monte-Carlo Learning Limitations.mp4 |
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7. Monte-Carlo Learning Limitations.srt |
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7. MOR Quiz 3.mp4 |
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7. MOR Quiz 3.srt |
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7. Request for Your Honest Review.mp4 |
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7. Stochastic Environment 2.mp4 |
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7. Stochastic Environment 2.srt |
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7. Summary.mp4 |
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7. Value Iteration Quiz.mp4 |
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7. Value Iteration Quiz.srt |
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7. What is Reward.mp4 |
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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 |
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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 |
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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 |
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