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The ability to leverage heterogeneous robotic experience from different robots and tasks to quickly master novel skills and embodiments has the potential to transform robot learning.
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Bootstrap your own latent a new approach to self-supervised learning
J.-B. Grill, F. Strub, F. Altché, C. Tallec, P. H. Richemond, E. Buchatskaya, C. Doersch, B. A. Pires, Z. D. Guo, M. G. Azar, B. Piot, K. Kavukcuoglu, R. Munos, and M. Valko · 2020
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Benchmarking protocols for evaluating small parts robotic assembly systems
K. Kimble, K. Van Wyk, J. Falco, E. Messina, Y. Sun, M. Shibata, W. Uemura, and Y. Yokokohji · 2020
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My body is a cage: the role of morphology in graph-based incompatible control
V. Kurin, M. Igl, T. Rocktäschel, W. Boehmer, and S. Whiteson · 2020
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Stabilizing transformers for reinforcement learning
E. Parisotto, H. F. Song, J. W. Rae, R. Pascanu, C. Gulcehre, S. M. Jayakumar, M. Jaderberg, R. L. Kaufman, A. Clark, S. Noury, M. M. Botvinick, N. Heess, and R. Hadsell · 2020
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Rapid task-solving in novel environments
S. Ritter, R. Faulkner, L. Sartran, A. Santoro, M. Botvinick, and D. Raposo · 2020
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Learning to see before learning to act: Visual pre-training for manipulation
L. Yen-Chen, A. Zeng, S. Song, P. Isola, and T.-Y. Lin · 2020
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Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning
T. Yu, D. Quillen, Z. He, R. Julian, K. Hausman, C. Finn, and S. Levine · 2020
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RT-1: Robotics transformer for real-world control at scale
A. Brohan, N. Brown, J. Carbajal, Y. Chebotar, J. Dabis, C. Finn, K. Gopalakrishnan, K. Hausman, A. Herzog, J. Hsu, J. Ibarz, B. Ichter, A. Irpan, T. Jackson, S. Jesmonth, N. J. Joshi, R. Julian, D. Kalashnikov, Y. Kuang, I. Leal, K.-H. Lee, S. Levine, Y. Lu, U. Malla, D. Manjunath, I. Mordatch, O. Nachum, C. Parada, J. Peralta, E. Perez, K. Pertsch, J. Quiambao, K. Rao, M. Ryoo, G. Salazar, P. Sanketi, K. Sayed, J. Singh, S. Sontakke, A. Stone, C. Tan, H. Tran, V. Vanhoucke, S. Vega, Q. Vuong, F. Xia, T. Xiao, P. Xu, S. Xu, T. Yu, and B. Zitkovich · 2022
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Wish you were here: Hindsight goal selection for long-horizon dexterous manipulation
T. Davchev, O. O. Sushkov, J.-B. Regli, S. Schaal, Y. Aytar, M. Wulfmeier, and J. Scholz · 2022
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Metamorph: Learning universal controllers with transformers
A. Gupta, L. Fan, S. Ganguli, and L. Fei-Fei · 2022
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Masked autoencoders are scalable vision learners
K. He, X. Chen, S. Xie, Y. Li, P. Dollár, and R. Girshick · 2022
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Object discovery and representation networks
O. J. Hénaff, S. Koppula, E. Shelhamer, D. Zoran, A. Jaegle, A. Zisserman, J. Carreira, and R. Arandjelović · 2022
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Know thyself: Transferable visual control policies through robot-awareness
E. S. Hu, K. Huang, O. Rybkin, and D. Jayaraman · 2022
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VIMA: General robot manipulation with multimodal prompts
Y. Jiang, A. Gupta, Z. Zhang, G. Wang, Y. Dou, Y. Chen, L. Fei-Fei, A. Anandkumar, Y. Zhu, and L. Fan · 2022
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A. Khandelwal, L. Weihs, R. Mottaghi, and A. Kembhavi · 2022
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Multi-game decision transformers
K.-H. Lee, O. Nachum, M. Yang, L. Lee, D. Freeman, W. Xu, S. Guadarrama, I. Fischer, E. Jang, H. Michalewski, and I. Mordatch · 2022
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R3M: A universal visual representation for robot manipulation
S. Nair, A. Rajeswaran, V. Kumar, C. Finn, and A. Gupta · 2022
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Training language models to follow instructions with human feedback
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Gray, J. Schulman, J. Hilton, F. Kelton, L. Miller, M. Simens, A. Askell, P. Welinder, P. Christiano, J. Leike, and R. Lowe · 2022
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The unsurprising effectiveness of pre-trained vision models for control
S. Parisi, A. Rajeswaran, S. Purushwalkam, and A. Gupta · 2022
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Robust speech recognition via large-scale weak supervision
A. Radford, J. W. Kim, T. Xu, G. Brockman, C. McLeavey, and I. Sutskever · 2022
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A generalist agent
S. Reed, K. Zolna, E. Parisotto, S. G. Colmenarejo, A. Novikov, G. Barth-maron, M. Giménez, Y. Sulsky, J. Kay, J. T. Springenberg, T. Eccles, J. Bruce, A. Razavi, A. Edwards, N. Heess, Y. Chen, R. Hadsell, O. Vinyals, M. Bordbar, and N. de Freitas · 2022
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Masked visual pre-training for motor control
T. Xiao, I. Radosavovic, T. Darrell, and J. Malik · 2022
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PaLM-E: An embodied multimodal language model
D. Driess, F. Xia, M. S. Sajjadi, C. Lynch, A. Chowdhery, B. Ichter, A. Wahid, J. Tompson, Q. Vuong, T. Yu, et al · 2023
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