2024
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
ICLR 2024poster
Current advancements in reinforcement learning (RL) have predominantly focused on learning step-based policies that generate actions for each perceived state. While these methods efficiently leverage step information from environmental interaction, they often ignore the temporal correlation between…