Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions

Author:

Escontrela Alejandro1,Peng Xue Bin1,Yu Wenhao2,Zhang Tingnan2,Iscen Atil2,Goldberg Ken1,Abbeel Pieter1

Affiliation:

1. UC Berkeley

2. Google Brain

Publisher

IEEE

Reference58 articles.

1. Fast and efficient locomotion via learned gait transitions;yang;CoRR,2021

2. Proximal policy optimization algorithms;schulman;CoRR,2017

3. Domain randomization for transferring deep neural networks from simulation to the real world

4. Learning locomotion skills for cassie: Iterative design and sim-to-real;xie;Conference on Robot Learning,2020

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