Safe Reinforcement Learning for Legged Locomotion

Author:

Yang Tsung-Yen1,Zhang Tingnan2,Luu Linda2,Ha Sehoon2,Tan Jie2,Yu Wenhao2

Affiliation:

1. Princeton University

2. Google Research

Funder

NSF

Publisher

IEEE

Reference43 articles.

1. Learning to be safe: Deep rl with a safety critic;srinivasan;ArXiv Preprint,2020

2. Learning Fast Adaptation With Meta Strategy Optimization

3. A lyapunov-based approach to safe reinforcement learning;chow;Advances in Neural Information Processing Systems 31 NeurIPS,0

4. Sim-to-Real Transfer for Biped Locomotion

5. Projection-based constrained policy optimization;yang;ICLR International Conference on Learning Representations,2020

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1. Safe Multi-Agent Reinforcement Learning via Dynamic Shielding;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

2. Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Not Only Rewards but Also Constraints: Applications on Legged Robot Locomotion;IEEE Transactions on Robotics;2024

4. Progress and summary of reinforcement learning on energy management of MPS-EV;Heliyon;2024-01

5. A study on quadruped mobile robots;Mechanism and Machine Theory;2023-12

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