Questions tagged [self-play]
For questions about the technique of "self play" in reinforcement learning in relation to combinatorial games and games in general.
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questions
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What will Q-values look like in self-play tic-tac-toe?
This corresponds to Exercise 1.1 of RLBook, and a discussion followed from here.
Considering two reward schemes-
Win = +1, Draw = 0, Loss = -1
Win = +1, Draw or Loss = 0
Can we say something about ...
0
votes
1answer
69 views
How can I oppose two AI agents with keras / tensoflow?
I am trying to use tensorflow / keras to play a text based game. The game opposes two players that play by answering questions by choosing an answer among the proposed ones.
Game resembles this:
...
2
votes
2answers
1k views
Why does self-playing TicTacToe not become perfect?
I trained a DQN that learns TicTacToe by playing against itself with a reward of -1/0/+1 for a loss/draw/win. Every 500 episodes I test the progress by letting it play some episodes (also 500) against ...
2
votes
2answers
184 views
How to see terminal reward in self-play reinforcement learning?
there seems to be a major difference how the terminal reward is received/handled in self-play RL vs "normal" RL which confuses me.
I implemented TicTacToe the normal way, where a single agent plays ...
3
votes
1answer
280 views
What are good learning strategies for Deep Q-Network with opponents?
I am trying to find out what are some good learning strategies for Deep Q-Network with opponents. Let's consider the well known game Tic-Tac-Toe as an example:
How should an opponent be implemented ...
