Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning

1 code implementation • 21 Jan 2024 • Ge Li, Hongyi Zhou, Dominik Roth, Serge Thilges, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann

Current advancements in reinforcement learning (RL) have predominantly focused on learning step-based policies that generate actions for each perceived state.

Reinforcement Learning (RL)