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jerry871002 / bsi-pt

BSI-PT algorithm in the paper "Opponent Exploitation Based on Bayesian Strategy Inference and Policy Tracking"
https://jerry871002.github.io/bsi-pt/
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bayesian-inference bpr multi-agent-reinforcement-learning opponent-modeling

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BSI-PT

This repository presents the BSI-PT (Bayesian Strategy Inference plus Policy Tracking) framework introduced in the paper Opponent Exploitation Based on Bayesian Strategy Inference and Policy Tracking.

BSI-PT is a Bayesian algorithm that can infer an opponent's policy in a multi-agent competitive environment. BSI-PT combines the advantages of inter-episode strategy inference and intra-episode policy tracking. Experiments have showed that BSI-PT is more accurate than other BPR variants at predicting the opponent's policy and winning against opponents with a variety of policy selection strategies.

Authors

Citation

Please site our paper if you find this repository useful.

@article{lee2023opponent,
  title={Opponent Exploitation Based on Bayesian Strategy Inference and Policy Tracking},
  author={Lee, Kuei-Tso and Huang, Yen-Yun and Yang, Je-Ruei and Wang, Sheng-Jyh},
  journal={IEEE Transactions on Games},
  year={2023},
  publisher={IEEE}
}

Documentation

Check the documentation to see how to run the experiments.