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09/13/2021
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
Reinforcement learning is widely used in applications where one needs to...
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09/12/2021
Concave Utility Reinforcement Learning with Zero-Constraint Violations
We consider the problem of tabular infinite horizon concave utility rein...
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09/09/2021
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
Mean field control (MFC) is an effective way to mitigate the curse of di...
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06/12/2021
Markov Decision Processes with Long-Term Average Constraints
We consider the problem of constrained Markov Decision Process (CMDP) wh...
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05/28/2021
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
Many engineering problems have multiple objectives, and the overall aim ...
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02/22/2021
Communication Efficient Parallel Reinforcement Learning
We consider the problem where M agents interact with M identical and ind...
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02/10/2021
Multi-Agent Multi-Armed Bandits with Limited Communication
We consider the problem where N agents collaboratively interact with an ...
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11/16/2020
Blind Decision Making: Reinforcement Learning with Delayed Observations
Reinforcement learning typically assumes that the state update from the ...
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11/16/2020
DART: aDaptive Accept RejecT for non-linear top-K subset identification
We consider the bandit problem of selecting K out of N arms at each time...
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10/03/2019
Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent
Gradient descent and its variants are widely used in machine learning. H...
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09/06/2019
Encoders and Decoders for Quantum Expander Codes Using Machine Learning
Quantum key distribution (QKD) allows two distant parties to share encry...
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09/06/2019
A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making
Reinforcement Learning (RL) is being increasingly applied to optimize co...
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11/29/2018