Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities
概要
arXiv:2605.05812v1 Announce Type: new Abstract: Off-policy, value-based reinforcement learning methods such as Q-learning are appealing because they can learn from arbitrary experience, including data collected by older policies or other agents. In practice, however, bootstrapping makes long-horizo…
