2025
Harnessing Causality in Reinforcement Learning with Bagged Decision Times
AISTATS 2025poster
We consider reinforcement learning (RL) for a class of problems with bagged decision times. A bag contains a finite sequence of consecutive decision times. The transition dynamics are non-Markovian and non-stationary within a bag. All actions within a bag jointly impact a single reward, observed at…