Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards
arXiv:2603.02008v2 Announce Type: replace
Abstract: Effective exploration in reinforcement learning requires not only tracking where an agent has been, but also understanding how the agent perceives and represents the world. To learn powerful represen…