Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control

Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski +2

Sample efficiency in Reinforcement Learning (RL) has traditionally been driven by algorithmic enhancements. In this work, we demonstrate that scaling can also lead to substantial i…