7 citations · 9 across the 4 of their papers we have counts for
4 papers
Occupancy Information Ratio: Infinite-Horizon, Information-Directed, Parameterized Policy Search
Wesley A. Suttle, Alec Koppel, Ji Liu
In this work, we propose an information-directed objective for infinite-horizon reinforcement learning (RL), called the occupancy information ratio (OIR), inspired by the informati…
Reinforcement Learning based Distributed Control of Dissipative Networked Systems
K. C. Kosaraju, S. Sivaranjani, W. Suttle +2
We consider the problem of designing distributed controllers to stabilize a class of networked systems, where each subsystem is dissipative and designs a reinforcement learning bas…
A Convergence Result for Regularized Actor-Critic Methods
Wesley Suttle, Zhuoran Yang, Kaiqing Zhang +1
In this paper, we present a probability one convergence proof, under suitable conditions, of a certain class of actor-critic algorithms for finding approximate solutions to entropy…
A Multi-Agent Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning
Wesley Suttle, Zhuoran Yang, Kaiqing Zhang +3
This paper extends off-policy reinforcement learning to the multi-agent case in which a set of networked agents communicating with their neighbors according to a time-varying graph…