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What is Offline Opponent Modeling with TAO about?
The paper presents a novel approach to Offline Opponent Modeling (OOM) using a Transformer-based method called Transformer Against Opponent (TAO), which leverages pre-collected offline datasets to learn opponent behaviors efficiently. TAO operates in three stages: embedding opponent trajectories, training response policies, and adapting to unknown opponent policies through in-context learning. Experimental results demonstrate TAO
- Author
- lisiyuan199511
- Language
- EN