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Imitation learning has enabled robots to perform complex, long-horizon tasks in challenging dexterous manipulation settings.
On the interpretation of χ 2 \chi^{2} from contingency tables, and the calculation of p
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Nearly-Optimal Sequential Tests for Finitely Many Parameter Values
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Herman Chernoff and A. John Petkau · 1986
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Nearly Optimal Sequential Tests of Composite Hypotheses
Tze Leung Lai · 1988
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David Williams · 1991
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The Pricing of the American Option
Ravi Myneni · 1992
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Nearly Optimal Generalized Sequential Likelihood Ratio Tests in Multivariate Exponential Families
Tze Leung Lai and Li Min Zhang · 1994
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‘Improving ratings’: audit in the British University system
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Planning and acting in partially observable stochastic domains
Leslie Pack Kaelbling, Michael L Littman, and Anthony R Cassandra · 1998
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Asymptotic Approximations for Error Probabilities of Sequential or Fixed Sample Size Tests in Exponential Families
Hock Peng Chan and Tze Leung Lai · 2000
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Computation of an over-approximation of the backward reachable set using subsystem level set functions
What matters in learning from offline human demonstrations for robot manipulation
Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, and Roberto Martín-Martín · 2021
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Pete Florence, Corey Lynch, Andy Zeng, Oscar A Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, and Jonathan Tompson · 2022
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A computational approach to the Kiefer-Weiss problem for sampling from a Bernoulli population
Andrei Novikov and Fahil Farkhshatov · 2022
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, et al · 2023
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Dušan M. Stipanović, Inseok Hwang, and Claire J. Tomlin · 2003
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A Geometric Approach to Free Boundary Problems
Luis A. Caffarelli and S. Salsa · 2005
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A reduction of imitation learning and structured prediction to no-regret online learning
Stéphane Ross, Geoffrey Gordon, and Drew Bagnell · 2011
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Measuring the prevalence of questionable research practices with incentives for truth telling
Leslie K John, George Loewenstein, and Drazen Prelec · 2012
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Mathematical Statistics: Basic Ideas and Selected Topics, Volumes I-II Package
Peter J. Bickel and Kjell A. Doksum · 2015
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Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
Sander Greenland, Stephen J Senn, Kenneth J Rothman, John B Carlin, Charles Poole, Steven N Goodman, and Douglas G Altman · 2016
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A numerical approach to sequential multi-hypothesis testing for Bernoulli model
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Open x-embodiment: Robotic learning datasets and RT-X models
Abby O’Neill, Abdul Rehman, Abhinav Gupta, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, et al · 2023
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Exact anytime-valid confidence intervals for contingency tables and beyond
Rosanne J. Turner and Peter D. Grünwald · 2023
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Bridgedata v2: A dataset for robot learning at scale
Homer Rich Walke, Kevin Black, Tony Z Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, et al · 2023
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Robot learning in the era of foundation models: A survey
Xuan Xiao, Jiahang Liu, Zhipeng Wang, Yanmin Zhou, Yong Qi, Qian Cheng, Bin He, and Shuo Jiang · 2023
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π 0 \pi_{0} : A Vision-Language-Action Flow Model for General Robot Control
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Diffusion policy: Visuomotor policy learning via action diffusion
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OpenVLA: An Open-Source Vision-Language-Action Model
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Robot Learning as an Empirical Science: Best Practices for Policy Evaluation
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Evaluating Real-World Robot Manipulation Policies in Simulation
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