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cs.LG2024
Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated Sensing
Luke Snow, Vikram Krishnamurthy
We derive a minimax distributionally robust inverse reinforcement learning (IRL) algorithm to reconstruct the utility functions of a multi-agent sensing system. Specifically, we co…
cs.GT2024
Data-Driven Mechanism Design via Multi-Agent Revealed Preferences
Luke Snow, Vikram Krishnamurthy
We study a sequence of independent one-shot non-cooperative games where agents play equilibria determined by a tunable mechanism. Observing only equilibrium decisions, without para…