research
∙
06/27/2023
What Truly Matters in Trajectory Prediction for Autonomous Driving?
In the autonomous driving system, trajectory prediction plays a vital ro...
share
research
∙
09/23/2022
Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization
Energy-function-based safety certificates can provide provable safety gu...
research
∙
09/11/2022
Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning
Choosing an appropriate parameter set for the designed controller is cri...
research
∙
01/29/2022
Zeroth-Order Actor-Critic
Zeroth-order optimization methods and policy gradient based first-order ...
research
∙
11/25/2021
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning
In the trial-and-error mechanism of reinforcement learning (RL), a notor...
research
∙
11/15/2021
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning
Safety is the major consideration in controlling complex dynamical syste...
research
∙
05/22/2021
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety
The safety constraints commonly used by existing safe reinforcement lear...
research
∙
03/02/2021