Publications

Date: 18 Feb 24 18 February 2024
Title: Learning to Learn Faster from Human Feedback with Language Model Predictive Control
Authors: Ken Caluwaerts, Ben Jyenis, Jasmine Hsu, andyzeng , Wenhao Yu, Nik Stewart, Jacky Liang, Fei Xia, Peng Xu, Jie Tan, ichter , Erik Frey, Carolina Parada, Dorsa Sadigh, Tingnan Zhang, Ted Xiao, Zhuo Xu, Nikhil Joshi, Kuang-Huei Lee, Chase Kew, Ken Oslund, Sean Kirmani, Dushyant Rao, quanhovuong , Keerthana Gopalakrishnan, Marissa Giustina, Jonathan Tompson, Assaf Hurwitz Michaely, Baruch Tabanpour, Maria Bauza, Edward Lee, Maria Attarian, Leonard Hasenclever, Alex Bewley, Jan Humplik, Nimrod Gileadi, Joss Moore, Leila Takayama, allenren , Adil Dostmohamed, Chuyuan Kelly Fu, Ayzaan Wahid, Matt Bennice, Vincent Zhuang, Nicolas Heess, Izhak Shafran, Vincent Vanhoucke, Maja Mataric, Montse Gonzalez Arenas, Ying Xu, Kanishka Rao
Venue: arXiv

Date: 15 Feb 24 15 February 2024
Title: Experts Don't Cheat: Learning What You Don't Know by Predicting Pairs
Authors: Daniel D. Johnson, Daniel Tarlow, David Duvenaud, Chris J. Maddison
Venue: arXiv

Date: 15 Feb 24 15 February 2024
Title: A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Authors: Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, Ian Fischer
Venue: arXiv

Date: 13 Feb 24 13 February 2024
Title: A Distributional Analogue to the Successor Representation
Authors: Harley Wiltzer*, Jesse Farebrother, Arthur Gretton, Yunhao Tang, Andre Barreto, Will Dabney, Marc Bellemare*, Mark Rowland
Venue: arXiv

Date: 12 Feb 24 12 February 2024
Title: PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
Authors: Soroush Nasiriany*, Fei Xia*, Wenhao Yu, Ted Xiao*, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess , Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee , Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter*
Venue: arXiv

Date: 12 Feb 24 12 February 2024
Title: Near-Minimax-Optimal Distributional RL with a Generative Model
Authors: Mark Rowland, Kevin Li, Remi Munos, Clare Lyle, Yunhao Tang, Will Dabney
Venue: arXiv

Date: 11 Feb 24 11 February 2024
Title: Chain-of-Table: Evolves Tables in the LLM Reasoning Chain for Table Understanding
Authors: Zilong Wang*, Chen-Yu Lee, chunliang , Hao Zhang, Julian Eisenschlos, Lesly Miculicich, Tomas Pfister, Vincent Perot, Yasuhisa Fujii, Zifeng Wang, Jingbo Shang*
Venue: ICLR 2024

Date: 8 Feb 24 8 February 2024
Title: Memory Consolidation Enables Long-Context Video Understanding
Authors: Ivana Balazevic, Jimmy Shi, Nelly Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier Henaff
Venue: arXiv

Date: 8 Feb 24 8 February 2024
Title: Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
Authors: Nicolas Nguyen, Imad Aouali, András György, Claire Vernade
Venue: arXiv

Date: 6 Feb 24 6 February 2024
Title: Large Language Models Self-Discover Reasoning Structures
Authors: Pei Zhou*, Jay Pujara*, Xiang Ren*, Swaroop Mishra, Steven Zheng, Denny Zhou, Heng-Tze Cheng, Quoc Le, Ed Chi, Xinyun Chen
Venue: arXiv

Date: 6 Feb 24 6 February 2024
Title: States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers
Authors: Ian Gemp, Yoram Bachrach, Marc Lanctot, Roma Patel, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls
Venue: arXiv

Date: 2 Feb 24 2 February 2024
Title: Fractal Patterns May Unravel the Intelligence in Next-Token Prediction
Authors: Ibrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
Venue: arXiv

Date: 2 Feb 24 2 February 2024
Title: Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
Authors: Zhou Fan, Xinran Han, Zi Wang
Venue: Transactions on Machine Learning Research (TMLR)

Date: 1 Feb 24 1 February 2024
Title: Exploration at Scale using Epistemic Neural Networks
Authors: Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy
Venue: arXiv

Date: 26 Jan 24 26 January 2024
Title: Learning Universal Predictors
Authors: Jordi Grau-Moya *, Tim Genewein *, Marcus Hutter *, Laurent Orseau *, Grégoire Déletang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison and Joel Veness
Venue: arXiv

Date: 20 Jan 24 20 January 2024
Title: Neural Population Learning beyond Symmetric Zero-Sum Games
Authors: Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Leibo, Nicolas Heess
Venue: AAMAS 2024

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