Artificial Empathy: Towards a Framework for Unsupervised Agency Detection and Policy Reconstruction

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Original abstract

We study how an AI system can identify and model other agents in its environment from observation alone, which is a capability necessary for cooperative behaviour in the real world. This problem is less constrained than inverse reinforcement learning and remains largely unexplored. We propose a framework that uses a reinforcement learning agent, trained on an independent task as a prior about agentic dynamics, to perform agency detection and policy reconstruction.

Links and sources

• Official / arXiv page
• PDF from original source

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