Questions tagged [self-play]

For questions about the technique of "self play" in reinforcement learning in relation to combinatorial games and games in general.

Filter by
Sorted by
Tagged with
0
votes
1answer
80 views

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 ...