2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
NeurIPS 2020poster
Model-based reinforcement learning (RL) has shown great potential in various control tasks in terms of both sample-efficiency and final performance. However, learning a generalizable dynamics model robust to changes in dynamics remains a challenge since the target transition dynamics follow a multi-…