Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods

Published in International Conference on Machine Learning (ICML), 2022

Recommended citation: Yi Wan*, Ali Rahimi-Kalahroudi*, Janarthanan Rajendran, Ida Momennejad, Sarath Chandar, and Harm van Seijen. (2022). "Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods." . https://arxiv.org/abs/2204.11464

Arxiv Link!

This paper was also presented in the ICLR 2022 workshop on Agent Learning in Open-Endedness (Spotlight) and RLDM 2022.