6 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 5 cited
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
Michael Chang, Sidhant Kaushik, Sergey Levine +1
Many transfer problems require re-using previously optimal decisions for solving new tasks, which suggests the need for learning algorithms that can modify the mechanisms for choos…
cs.LG2020★ 6 cited
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions
Michael Chang, Sidhant Kaushik, S. Matthew Weinberg +2
This paper seeks to establish a framework for directing a society of simple, specialized, self-interested agents to solve what traditionally are posed as monolithic single-agent se…