Offline Reinforcement Learning with Universal Horizon Models
arXiv:2605.15603v1 Announce Type: cross
Abstract: Model-based reinforcement learning (RL) offers a compelling approach to offline RL by enabling value learning on imagined on-policy trajectories. However, it often suffers from compounding errors due t…