policy
Reinforcement-Learning-TicTacToe-FairGame-UnfairGame
divyasaxenaa · PyTorch
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Overview
Name
Reinforcement-Learning-TicTacToe-FairGame-UnfairGame
Author
divyasaxenaa
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Learning to Play Modified Tic-Tac-Toe Build a game-theoretic learner that uses a game theoretic RL approach to learn to play a modified version of Tic-Tac-Toe where one party randomly starts and there is a 10% chance that at any point one of the players has to give up a turn (or in other terms where
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
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Datasets that reference this policy
0No datasets reference Reinforcement-Learning-TicTacToe-FairGame-UnfairGame yet.