ICLR paper on Off-Dynamics Reinforcement Learning

Paper Link: https://arxiv.org/abs/2006.13916

Published in ICLR 2021, and was a spotlight talk in NeuRIPs 2020 and ICML 2020

We propose a simple, practical, and intuitive approach for domain adaptation in reinforcement learning, where we learn with small data from real world, leverage simulation data, to perform well in the real world.

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