Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees

2022/10/26 by Kai-Chieh Hsu, Kai–Chieh Hsu, Allen Z. Ren +3 · 6 citations
Engineering · Computer Science · #Robot Manipulation and Learning #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning

paper · doi:10.1016/j.artint.2022.103811

Cited by

• RoboBPP: Benchmarking Robotic Online Bin Packing with Physics-based Simulation
• How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints
• Reachable Predictive Control: A Novel Control Algorithm for Nonlinear Systems with Unknown Dynamics and its Practical Applications
• AnySafe: Adapting Latent Safety Filters at Runtime via Safety Constraint Parameterization in the Latent Space
• SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer
• Multi-robot hierarchical safe reinforcement learning autonomous decision-making strategy based on uniformly ultimate boundedness constraints. [europepmc]