Distributions as Actions: A Unified Framework for Diverse Action Spaces
arXiv:2506.16608v3 Announce Type: replace
Abstract: We introduce a novel reinforcement learning (RL) framework that treats parameterized action distributions as actions, redefining the boundary between agent and environment. This reparameterization ma…