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05/26/2023
Policy Synthesis and Reinforcement Learning for Discounted LTL
The difficulty of manually specifying reward functions has led to an int...
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02/06/2023
Robust Subtask Learning for Compositional Generalization
Compositional reinforcement learning is a promising approach for trainin...
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06/06/2022
Specification-Guided Learning of Nash Equilibria with High Social Welfare
Reinforcement learning has been shown to be an effective strategy for au...
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06/25/2021
Compositional Reinforcement Learning from Logical Specifications
We study the problem of learning control policies for complex tasks give...
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05/05/2021
Learning Algorithms for Regenerative Stopping Problems with Applications to Shipping Consolidation in Logistics
We study regenerative stopping problems in which the system starts anew ...
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10/29/2020
Abstract Value Iteration for Hierarchical Reinforcement Learning
We propose a novel hierarchical reinforcement learning framework for con...
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08/21/2020