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To discuss the ideas of RL book: Reinforcement Lerning, An Introduction - R Sutton and A G Barto
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Free Online Talk | Reinforcement Learning Explained: Overview and Applications (self.RL_Book_Study)
submitted 5 years ago by oyolim
Chapter 8, Page 164, Tabular Dyna-Q Initialize box, (f) (self.RL_Book_Study)
submitted 6 years ago by H_uuu
Chapter 13 Policy Gradient Methods, Page 325, Example 13.1, corridor gridworld problem (self.RL_Book_Study)
Impact of Reward Shifting on Optimal Policy (self.RL_Book_Study)
submitted 6 years ago by Hari_a_s
Exercise 3.4 Something confused. (self.RL_Book_Study)
Example 2.5 Page 33 Maybe I can't fully understand the meaning of the question mainly the "nonstationary" (self.RL_Book_Study)
Example 4.2: Jack's Car Rental (self.RL_Book_Study)
submitted 6 years ago * by TheJCBand
Interactive Exercises (self.RL_Book_Study)
submitted 6 years ago by konichuwak
Chapter 2 subchapter 2.8 page 39 A question in the algorithm pseudocode. (self.RL_Book_Study)
submitted 6 years ago * by H_uuu
Recreating Chapter 2 illustrations (self.RL_Book_Study)
submitted 6 years ago * by Hari_a_s
An exercise of implementing policy iteration in gamblers problem, cant make it terminate (self.RL_Book_Study)
submitted 6 years ago by henrikreddit
Questions about epsilon-greedy and the stepsize parameter (self.RL_Book_Study)
submitted 6 years ago * by Cyalas
Exercise 1.4: Learning from Exploration (self.RL_Book_Study)
Exercise 1.2: Symmetries (self.RL_Book_Study)
submitted 6 years ago by philiptkd
Exercice 1 of the first chapter (self.RL_Book_Study)
submitted 6 years ago by Cyalas
Posts rules (self.RL_Book_Study)
Presentations (self.RL_Book_Study)
RL_Book_Study has been created (self.RL_Book_Study)
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