2026
Discovering Diverse Behaviors via Temporal Contrastive Learning
ICLR 2026poster
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 representations, an agent should actively explore states that contribute to its knowledge of the environment.…