Self-Paced Deep Reinforcement Learning

24 Apr 2020Pascal KlinkCarlo D'EramoJan PetersJoni Pajarinen

Curriculum Reinforcement Learning (CRL) improves the learning speed and stability of an agent by exposing it to a tailored series of tasks throughout learning. Despite empirical successes, an open question in CRL is how to automatically generate a curriculum for a given Reinforcement Learning (RL) agent, avoiding manual design... (read more)

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