
TEB Boosts Visual RL Exploration
TEB introduces task-aware exploration for visual reinforcement learning under sparse rewards using a predictive bisimulation metric. It learns behaviorally grounded representations and measures intrinsic novelty in latent space. Experiments on MetaWorld and Maze2D show it outperforms baselines.







