Multi-View Decision Processes: The Helper-AI Problem

NeurIPS 2017 Christos DimitrakakisDavid C. ParkesGoran RadanovicPaul Tylkin

We consider a two-player sequential game in which agents have the same reward function but may disagree on the transition probabilities of an underlying Markovian model of the world. By committing to play a specific policy, the agent with the correct model can steer the behavior of the other agent, and seek to improve utility... (read more)

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