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Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos.

B. Baker, I. Akkaya, P. Zhokhov, J. Huizinga, J. Tang, A. Ecoffet, B. Houghton, R. Sampedro, и J. Clune. NeurIPS, (2022)

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Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos.B. Baker, I. Akkaya, P. Zhokhov, J. Huizinga, J. Tang, A. Ecoffet, B. Houghton, R. Sampedro, и J. Clune. NeurIPS, (2022)Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.S. Milani, A. Kanervisto, K. Ramanauskas, S. Schulhoff, B. Houghton, S. Mohanty, B. Galbraith, K. Chen, Y. Song, T. Zhou и 20 other автор(ы). CoRR, (2023)Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.S. Milani, A. Kanervisto, K. Ramanauskas, S. Schulhoff, B. Houghton, S. Mohanty, B. Galbraith, K. Chen, Y. Song, T. Zhou и 24 other автор(ы). NeurIPS (Competition and Demos), том 220 из Proceedings of Machine Learning Research, стр. 171-188. PMLR, (2021)Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning.S. Milani, N. Topin, B. Houghton, W. Guss, S. Mohanty, K. Nakata, O. Vinyals, и N. Kuno. NeurIPS (Competition and Demos), том 123 из Proceedings of Machine Learning Research, стр. 203-214. PMLR, (2019)Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020.W. Guss, S. Milani, N. Topin, B. Houghton, S. Mohanty, A. Melnik, A. Harter, B. Buschmaas, B. Jaster, C. Berganski и 19 other автор(ы). NeurIPS (Competition and Demos), том 133 из Proceedings of Machine Learning Research, стр. 233-252. PMLR, (2020)MineRL: A Large-Scale Dataset of Minecraft Demonstrations.W. Guss, B. Houghton, N. Topin, P. Wang, C. Codel, M. Veloso, и R. Salakhutdinov. IJCAI, стр. 2442-2448. ijcai.org, (2019)Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft.I. Kanitscheider, J. Huizinga, D. Farhi, W. Guss, B. Houghton, R. Sampedro, P. Zhokhov, B. Baker, A. Ecoffet, J. Tang и 2 other автор(ы). CoRR, (2021)Towards robust and domain agnostic reinforcement learning competitions.W. Guss, S. Milani, N. Topin, B. Houghton, S. Mohanty, A. Melnik, A. Harter, B. Buschmaas, B. Jaster, C. Berganski и 19 other автор(ы). CoRR, (2021)The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors.W. Guss, M. Castro, S. Devlin, B. Houghton, N. Kuno, C. Loomis, S. Milani, S. Mohanty, K. Nakata, R. Salakhutdinov и 5 other автор(ы). CoRR, (2021)Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning.S. Milani, N. Topin, B. Houghton, W. Guss, S. Mohanty, K. Nakata, O. Vinyals, и N. Kuno. CoRR, (2020)

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