Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization

Shixiang Shane Gu, Manfred Diaz, Daniel C. Freeman +7

The goal of continuous control is to synthesize desired behaviors. In reinforcement learning (RL)-driven approaches, this is often accomplished through careful task reward engineer…