A video-trained progress-estimation model, refined online with a push-back objective, provides dense rewards that enable goal-conditioned robot learning without manual reward design or action labels.
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PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement
A video-trained progress-estimation model, refined online with a push-back objective, provides dense rewards that enable goal-conditioned robot learning without manual reward design or action labels.