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08/25/2023
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
Deep reinforcement learning (RL) excels in various control tasks, yet th...
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06/21/2023
State-wise Constrained Policy Optimization
Reinforcement Learning (RL) algorithms have shown tremendous success in ...
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05/23/2023
GUARD: A Safe Reinforcement Learning Benchmark
Due to the trial-and-error nature, it is typically challenging to apply ...
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03/17/2023
Zero-shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction
Safety is critical in robotic tasks. Energy function based methods have ...
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02/06/2023
State-wise Safe Reinforcement Learning: A Survey
Despite the tremendous success of Reinforcement Learning (RL) algorithms...
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09/19/2022
Safety Index Synthesis via Sum-of-Squares Programming
Control systems often need to satisfy strict safety requirements. Safety...
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09/14/2022
Robust Safe Control for Uncertain Dynamic Models
Model mismatches prevail in real-world applications. Hence it is importa...
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03/06/2022
A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion
Delicate industrial insertion tasks (e.g., PC board assembly) remain cha...
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10/03/2021
Safe Control with Neural Network Dynamic Models
Safety is critical in autonomous robotic systems. A safe control law ens...
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06/24/2021