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Decision Transformer: Reinforcement Learning via Sequence Modeling

, , , , , , , , and . (2021)cite arxiv:2106.01345Comment: First two authors contributed equally. Last two authors advised equally.

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Learning Factor Graphs in Polynomial Time & Sample Complexity., , and . UAI, page 1-9. AUAI Press, (2005)Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation., , , , , , and . ICRA, page 1-8. IEEE, (2018)Learning contact-rich manipulation skills with guided policy search., , and . ICRA, page 156-163. IEEE, (2015)Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states., , , , and . ICRA, page 3373-3380. IEEE, (2017)Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3408-3417. PMLR, (2019)Constrained Policy Optimization., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 22-31. PMLR, (2017)Alpha-Beta Divergences Discover Micro and Macro Structures in Data., , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 796-804. JMLR.org, (2015)Preferences Implicit in the State of the World., , , , and . ICLR (Poster), OpenReview.net, (2019)Learning Factor Graphs in Polynomial Time and Sample Complexity., , and . J. Mach. Learn. Res., (2006)End-to-End Training of Deep Visuomotor Policies., , , and . J. Mach. Learn. Res., (2016)