ChronoSRL: Temporal Geometry for Self-Supervised Reinforcement Learning
ChronoSRL is introduced, which gives the critic's embeddings an explicit temporal geometry and predicts from their temporal embeddings not only the full distribution of goal-reaching times but also the time spent near the goal.
Nico Bohlinger, Jan Peters
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