2 papers
cs.LG2026
Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Processes
Alessandro Trapasso, Luca Iocchi, Fabio Patrizi
Many practical decision-making problems involve tasks whose success depends on the entire system history, rather than on achieving a state with desired properties. Markovian Reinfo…
cs.AI2026
Neuro-Symbolic Injection of LTLf Constraints in Autoregressive Reinforcement Learning Policies
Ashkan Ansarifard, Matteo Mancanelli, Elena Umili +1
In this work we study offline reinforcement learning (RL) under temporally extended task constraints expressed in Linear Temporal Logic over finite traces (LTLf). Recently, transfo…