Model-based Domain Randomization of Dynamics System with Deep Bayesian Locally Linear Embedding
J. Hyeon Park Sungyong Park H. Jin Kim J. Hyeon Park Sungyong Park H. Jin Kim
Domain randomization (DR) is a powerful tool to make a policy robust to the uncertainty of dynamics caused by unobservable environmental parameters. Conventional DR has adopted model-free reinforcement learning as a policy optimizer. However, the model-free methods in DR demand high time-complexity due to the randomization process where the environment is extremely changed. In this paper, we intro...