Artificial Empathy: Towards a Framework for Unsupervised Agency Detection and Policy Reconstruction
Peter Kuhn, Chris Pang, Sonakshi Chauhan
cs.AI
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.
Topics
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