UC Berkeley researchers open-source RAD to improve any reinforcement learning algorithm

A group of University of California, Berkeley researchers this week open-sourced Reinforcement Learning with Augmented Data (RAD). In an accompanying paper, the authors say this module can improve any existing reinforcement learning algorithm and that RAD achieves better compute and data efficiency than Google AI’s PlaNet, as well as recently released cutting-edge algorithms like DeepMind’s […]