Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions

ArXi:2512.20831v2 Announce Type: replace Real-world sequential decision-making often involves parameterized action spaces that require both, decisions regarding discrete actions and decisions about continuous action parameters governing how an action is executed.