Offline reinforcement learning with task hierarchies
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DOI: 10.1007/s10994-017-5650-8
Abstract: In this work, we build upon the observation that offline reinforcement learning (RL) is synergistic with task hierarchies that decompose large Markov decision processes (MDPs). Task hierarchies can allow more efficient sample collection from large… read more here.
Keywords: offline reinforcement; reinforcement learning; task; task hierarchies ... See more keywords
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
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DOI: 10.1109/tnnls.2023.3250269
Abstract: With the widespread adoption of deep learning, reinforcement learning (RL) has experienced a dramatic increase in popularity, scaling to previously intractable problems, such as playing complex games from pixel observations, sustaining conversations with humans, and… read more here.
Keywords: survey offline; reinforcement learning; offline reinforcement; review ... See more keywords
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning
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DOI: 10.48550/arxiv.2205.11790
Abstract: Offline Reinforcement learning (RL) has shown potent in many safe-critical tasks in robotics where exploration is risky and expensive. However, it still struggles to acquire skills in temporally extended tasks. In this paper, we study… read more here.
Keywords: reinforcement learning; offline reinforcement; level; hierarchical planning ... See more keywords