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cs.LG2023
MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning
Arundhati Banerjee, Soham Phade, Stefano Ermon +1
We study how a principal can efficiently and effectively intervene on the rewards of a previously unseen learning agent in order to induce desirable outcomes. This is relevant to m…
cs.LG2022
Cost Aware Asynchronous Multi-Agent Active Search
Arundhati Banerjee, Ramina Ghods, Jeff Schneider
Multi-agent active search requires autonomous agents to choose sensing actions that efficiently locate targets. In a realistic setting, agents also must consider the costs that the…