A Hierarchical Reinforcement Learning Framework based on Soft Actor-Critic for Quadruped Gait Generation
Author:
Affiliation:
1. School of Mechatronics Engineering and Automation, Shanghai University,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10011626/10011636/10011919.pdf?arnumber=10011919
Reference16 articles.
1. Learning Free Gait Transition for Quadruped Robots Via Phase-Guided Controller
2. The CMA evolution strategy: A tutorial;hansen;ArXiv Preprint,2016
3. Gait Optimization of a Quadruped Robot Using Evolutionary Computation
4. Soft actor-critic algorithms and application;haarnoja;ArXiv Preprint,2018
5. Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor;haarnoja;International Conference on Machine Learning,2018
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2. A Hierarchical Reinforcement Learning Approach for Adaptive Quadruped Locomotion of a Rat Robot;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04
3. A Hierarchical Framework for Quadruped Robots Gait Planning Based on DDPG;Biomimetics;2023-08-22
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