policy
poker-bot
DevanshuTripathi · PyTorch
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Overview
Name
poker-bot
Author
DevanshuTripathi
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
A poker bot built in Go using Deep Q-Learning and self-play. Trains itself to bluff, bet, and occasionally act smarter than its creator. Designed for RL experimentation, poker strategy research, and watching an AI develop questionable gambling habits.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
0+20 mentioned but not in catalog yetNo robots list poker-bot as compatible yet. Know of one? Flag it above.
Compatible environments
0No environments list poker-bot yet.
Datasets that reference this policy
0No datasets reference poker-bot yet.