Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning
Eric Vollenweider,Marko Bjelonic,Victor Klemm,Nikita Rudin,Joonho Lee,Marco Hutter,Eric Vollenweider,Marko Bjelonic,Victor Klemm,Nikita Rudin,Joonho Lee,Marco Hutter
Reinforcement learning (RL) has emerged as a powerful approach for locomotion control of highly articulated robotic systems. However, one major challenge is the tedious process of tuning the reward function to achieve the desired motion style. To address this issue, imitation learning approaches such as adversarial motion priors have been proposed, which encourage a pre-defined motion style. In th...
