2024
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking
NeurIPS 2024poster
Continuous action spaces in reinforcement learning (RL) are commonly defined as multidimensional intervals. While intervals usually reflect the action boundaries for tasks well, they can be challenging for learning because the typically large global action space leads to frequent exploration of irre…