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05/25/2023
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks
This paper considers a class of reinforcement learning problems, which i...
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03/10/2023
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs
We study model-free reinforcement learning (RL) algorithms in episodic n...
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12/13/2022
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems
This paper studies a class of multi-agent reinforcement learning (MARL) ...
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06/09/2022
On Low-Complexity Quickest Intervention of Mutated Diffusion Processes Through Local Approximation
We consider the problem of controlling a mutated diffusion process with ...
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06/03/2021
A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes
This paper presents the first model-free, simulator-free reinforcement l...
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10/04/2020
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning
In this paper, we propose a new type of Actor, named forward-looking Act...
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03/04/2019