awesome-model-based-RL
This repository provides a detailed collection of research papers on model-based reinforcement learning (MBRL), consistently updated with the latest developments. It includes papers from prestigious conferences such as NeurIPS and ICML and presents a taxonomy of MBRL algorithms categorized into 'Learn the Model' and 'Given the Model'. This resource is beneficial for studying foundational works as well as the latest innovations in the field, offering insights into various algorithmic strategies in model-based RL.
