Blackjack Reinforcement Learning Agent

This project is an implementation template for a Blackjack agent using reinforcement learning, designed for the Gymnasium Blackjack environment. The CI script automatically sends your results to a ranking server for comparison. Only modify the blackjack_agent.py file, specifically the BlackjackAgent methods action() and learn().

Installation

1. Clone the repository:

   git clone https://github.com/aaviix/Blackjack-Reinforcement-Learning-Agent.git
   cd Blackjack-Reinforcement-Learning-Agent

2. Install the dependencies:

   pip install -r requirements-interactive.txt

Usage

• Implement the BlackjackAgent methods in blackjack_agent.py.
• Use blackjack_trainer.py to train your agent.
• Run blackjack_play_human.py to interact with the trained agent as a human player.

Files

• blackjack_agent.py: Implement your agent here.
• blackjack_trainer.py: Script to train the agent.
• blackjack_play_human.py: Script for human interaction with the agent.
• benchmark.py: Script for benchmarking agent performance.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributing

Feel free to fork the repository and submit pull requests. For major changes, please open an issue first to discuss what you would like to change.