Wendyam Eric Lionel Ilboudo

Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness

2023

Domain randomization (DR) is a powerful framework that has allowed the transfer of policies from randomized domain (a.k.a. simulation) to real robots with little to no retraining requirement. However, because the policy has to perform …