no code implementations • 1 Jan 2021 • Bharathan Balaji, Petros Christodoulou, Xiaoyu Lu, Byungsoo Jeon, Jordan Bell-Masterson
We propose a simple class of deep reinforcement learning (RL) methods, called FactoredRL, that can leverage factored environment structures to improve the sample efficiency of existing model-based and model-free RL algorithms.
2 code implementations • 24 Nov 2019 • Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas Damianou, Pablo Moreno Garcia, Arpit Jain, Runfei Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, Chun Ye
Reinforcement Learning (RL) has achieved state-of-the-art results in domains such as robotics and games.