Reinforcement Learning Foundations

/[TutsNode.com] - Reinforcement Learning Foundations/

01 Reinforcement learning in a nutshell.mp4

04 Markov decision process.en.srt

16 SARSA.en.srt

03 A basic RL problem.en.srt

06 Monte Carlo method.en.srt

14 Additional modifications.en.srt

02 Terms in reinforcement learning.en.srt

05 A basic RL solution.en.srt

10 Exploration and exploitation.en.srt

01 Reinforcement learning in a nutshell.en.srt

17 SARSAMAX (Q-learning).en.srt

22 Your reinforcement learning journey.en.srt

07 Temporal difference methods.en.srt

04 Markov decision process.mp4

12 First visit and every visit MC prediction.en.srt

09 The setting.en.srt

11 Monte Carlo prediction.en.srt

08 Other RL algorithms.en.srt

18 Expected SARSA.en.srt

19 Deep reinforcement learning.en.srt

15 The setting.en.srt

21 Inverse reinforcement learning.en.srt

20 Multi-agent reinforcement learning.en.srt

13 Monte Carlo control.en.srt

16 SARSA.mp4

03 A basic RL problem.mp4

06 Monte Carlo method.mp4

14 Additional modifications.mp4

02 Terms in reinforcement learning.mp4

17 SARSAMAX (Q-learning).mp4

05 A basic RL solution.mp4

10 Exploration and exploitation.mp4

18 Expected SARSA.mp4

12 First visit and every visit MC prediction.mp4

22 Your reinforcement learning journey.mp4

15 The setting.mp4

11 Monte Carlo prediction.mp4

19 Deep reinforcement learning.mp4

20 Multi-agent reinforcement learning.mp4

21 Inverse reinforcement learning.mp4

07 Temporal difference methods.mp4

08 Other RL algorithms.mp4

13 Monte Carlo control.mp4

09 The setting.mp4

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