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09/12/2023
Risk-Aware Reinforcement Learning through Optimal Transport Theory
In the dynamic and uncertain environments where reinforcement learning (...
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05/11/2023
Towards Theoretical Understanding of Data-Driven Policy Refinement
This paper presents an approach for data-driven policy refinement in rei...
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04/30/2023
Joint Learning of Policy with Unknown Temporal Constraints for Safe Reinforcement Learning
In many real-world applications, safety constraints for reinforcement le...
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12/28/2022
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization
Simulation-based falsification is a practical testing method to increase...
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11/03/2022
A Survey on Reinforcement Learning in Aviation Applications
Compared with model-based control and optimization methods, reinforcemen...
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05/26/2022
Fast variable selection makes Karhunen-Loève decomposed Gaussian process BSS-ANOVA a speedy and accurate choice for dynamic systems identification
Many approaches for scalable GPs have focused on using a subset of data ...
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05/09/2022
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems
We present a safety verification framework for design-time and run-time ...
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03/23/2022
A Framework for Controlling Multi-Robot Systems Using Bayesian Optimization and Linear Combination of Vectors
We propose a general framework for creating parameterized control scheme...
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10/28/2019