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06/20/2023
Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
This paper focuses on reinforcement learning for the regularized robust ...
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04/07/2023
Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity
This paper studies the finite-time horizon Markov games where the agents...
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02/28/2023
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling
We introduce a new method based on nonnegative matrix factorization, Neu...
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12/02/2022
Multi-Agent Reinforcement Learning with Reward Delays
This paper considers multi-agent reinforcement learning (MARL) where the...
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06/06/2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence
This paper studies policy optimization algorithms for multi-agent reinfo...
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02/02/2022
On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems
Softmax policy gradient is a popular algorithm for policy optimization i...
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06/01/2021
Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence
We study the performance of the gradient play algorithm for multi-agent ...
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01/15/2020
An Efficient and Wear-Leveling-Aware Frequent-Pattern Mining on Non-Volatile Memory
Frequent-pattern mining is a common approach to reveal the valuable hidd...
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12/19/2019
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
This paper considers a distributed reinforcement learning problem for de...
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04/24/2019