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05/21/2023
A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances
In this work, we present an approach to supervisory reinforcement learni...
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05/20/2023
Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems
In this paper, we leverage ideas from model-based control to address the...
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05/19/2022
Concurrent Policy Blending and System Identification for Generalized Assistive Control
In this work, we address the problem of solving complex collaborative ro...
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02/20/2022
Analyzing Adaptive Scaffolds that Help Students Develop Self-Regulated Learning Behaviors
Providing adaptive scaffolds to help learners develop self-regulated lea...
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12/10/2020
Performance-Weighed Policy Sampling for Meta-Reinforcement Learning
This paper discusses an Enhanced Model-Agnostic Meta-Learning (E-MAML) a...
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09/26/2020
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control
Faults are endemic to all systems. Adaptive fault-tolerant control maint...
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08/10/2020
Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning
We propose a novel adaptive reinforcement learning control approach for ...
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08/10/2020
Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control
A desirable property in fault-tolerant controllers is adaptability to sy...
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08/04/2020
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings
This paper demonstrates that continual relearning of control policies us...
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03/27/2013