Multi-Critic Actor Learning: Teaching RL Policies to Act with Style

no code implementations • ICLR 2022 • Siddharth Mysore, George Cheng, Yunqi Zhao, Kate Saenko, Meng Wu

MultiCriticAL is tested in the context of multi-style learning, a special case of MTRL where agents are trained to behave with different distinct behavior styles, and yields up to 45% performance gains over the single-critic baselines and even successfully learns behavior styles in cases where single-critic approaches may simply fail to learn.

Character Controllers Using Motion VAEs

1 code implementation • 26 Mar 2021 • Hung Yu Ling, Fabio Zinno, George Cheng, Michiel Van de Panne

A fundamental problem in computer animation is that of realizing purposeful and realistic human movement given a sufficiently-rich set of motion capture clips.

Continuous Control Motion Synthesis +2