policy
TIC-TAC-TOE-game-using-Q-learning-AI-Agent-
shwetakumawat · PyTorch
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Overview
Name
TIC-TAC-TOE-game-using-Q-learning-AI-Agent-
Author
shwetakumawat
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
An AI agent learns to play tic-tac-toe - Where we use Q learning to train a reinforcement learning agent to play tic-tac-toe, we built the opponent for our reinforcement learning (RL) agent, The goal of the agent is to find an efficient policy, i.e. what action is optimal in a given situation. In th
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 TIC-TAC-TOE-game-using-Q-learning-AI-Agent- yet.