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Skill-based reinforcement learning (RL) approaches have shown considerable promise, especially in solving long-horizon tasks via hierarchical structures.
Behavioural cloning in control of a dynamic system
Esmaili, N.; Sammut, C.; and Shirazi, G. M. 1998 · 1998
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beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
Higgins, I.; Matthey, L.; Pal, A.; Burgess, C. P.; Glorot, X.; Botvinick, M. M.; Mohamed, S.; and Lerchner, A. 2016 · 2016
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Representation Learning with Contrastive Predictive Coding
van den Oord, A.; Li, Y.; and Vinyals, O. 2019 · 2019
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Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
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Is Conditional Generative Modeling All You Need for Decision-Making?
Ajay, A.; Du, Y.; Gupta, A.; Tenenbaum, J. B.; Jaakkola, T. S.; and Agrawal, P. 2023 · 2023
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Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets
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Imitating Human Behaviour with Diffusion Models
Pearce, T.; Rashid, T.; Kanervisto, A.; Bignell, D.; Sun, M.; Georgescu, R.; Macua, S. V.; Tan, S. Z.; Momennejad, I.; Hofmann, K.; and Devlin, S. 2023 · 2023
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Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
Wang, Z.; Hunt, J. J.; and Zhou, M. 2023 · 2023
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Rombach, R.; Blattmann, A.; Lorenz, D.; Esser, P.; and Ommer, B. 2022 · 2022
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