Train an agent to select the best five card poker hand from random cards with deep reinforcement learning. Create a custom OpenAI gym
environment and then work with Stable baselines to build an agent.
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Environments
implementgym
environments where the goal is to perform tasks related to five card poker hands, such as classification, selecting the best five card hand from many cards, and playing Open Face Chinese Poker -
AgentTraining
contains files for training agents in the environments -
requirements.txt
will be updated with a better way to replicate the environment used for training