Sim-to-lab-to-real: safe reinforcement learning with shielding and generalization guarantees

DOI10.1016/j.artint.2022.103811OpenAlexW4307572631MaRDI QIDQ2680780

Duy P. Nguyen, Allen Z. Ren, Anirudha Majumdar, Kai-Chieh Hsu, Jaime F. Fisac

Publication date: 4 January 2023

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2201.08355

zbMATH Keywords

reinforcement learninggeneralizationsafety analysissim-to-real transfer

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Related Items (1)

Sim-to-lab-to-real

Cites Work

• Some PAC-Bayesian theorems
• On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
• Reach-avoid problems with time-varying dynamics, targets and constraints
• Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
• A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems
• Robust H∞ control for uncertain stochastic systems with state delay
• Advanced Lectures on Machine Learning
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