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08/23/2023
Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning
The driving style of an Autonomous Vehicle (AV) refers to how it behaves...
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09/29/2022
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
It is quite challenging to ensure the safety of reinforcement learning (...
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09/24/2022
Cooperative Tuning of Multi-Agent Optimal Control Systems
This paper investigates the problem of cooperative tuning of multi-agent...
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07/18/2022
Learning multi-robot coordination from demonstrations
This paper develops a Distributed Differentiable Dynamic Game (DDDG) fra...
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05/31/2021
Safe Pontryagin Differentiable Programming
We propose a Safe Pontryagin Differentiable Programming (Safe PDP) metho...
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11/30/2020
Learning from Incremental Directional Corrections
This paper proposes a technique which enables a robot to learn a control...
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10/28/2020
Inverse Optimal Control from Demonstration Segments
This paper develops an inverse optimal control method to learn an object...
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08/05/2020
Learning from Sparse Demonstrations
This paper proposes an approach which enables a robot to learn an object...
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06/15/2020
Neural Certificates for Safe Control Policies
This paper develops an approach to learn a policy of a dynamical system ...
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12/30/2019
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
This paper develops a Pontryagin differentiable programming (PDP) method...
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03/21/2018