Benchmarking the Full-Order Model Optimization Based Imitation in the Humanoid Robot Reinforcement Learning Walk
Author:
Affiliation:
1. Moscow Institute of Physics and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406297/10406219/10406818.pdf?arnumber=10406818
Reference18 articles.
1. Combining trajectory optimization, supervised machine learning, and model structure for mitigating the curse of dimensionality in the control of bipedal robots
2. Learning Memory-Based Control for Human-Scale Bipedal Locomotion
3. Toward human-like walking pattern generator
4. Custom Sine Waves Are Enough for Imitation Learning of Bipedal Gaits with Different Styles
5. An Adaptable Approach to Learn Realistic Legged Locomotion without Examples
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