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20222025
most citedBuilding Minimal and Reusable Causal State Abstractions for Reinforcement Learning

2 citations · 3 across the 4 of their papers we have counts for

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cs.LG2022

D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning

Caroline Wang, Garrett Warnell, Peter Stone

While combining imitation learning (IL) and reinforcement learning (RL) is a promising way to address poor sample efficiency in autonomous behavior acquisition, methods that do so…

cs.MA2022★ 1 cited

DM: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching

Caroline Wang, Ishan Durugkar, Elad Liebman +1

Current approaches to multi-agent cooperation rely heavily on centralized mechanisms or explicit communication protocols to ensure convergence. This paper studies the problem of di…