Title
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Learning Universal Predictors Jordi Grau-Moya Tim Genewein Marcus Hutter Laurent Orseau Grégoire Delétang ... Anian Ruoss Wenliang Kevin Li Christopher Mattern Matthew Aitchison J. Veness 27 11 0 26 Jan 2024
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta A. Jagadish M. Botvinick Jane X. Wang Eric Schulz 30 25 0 12 Apr 2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning Adam X. Yang Laurence Aitchison Henry B. Moss 29 4 0 22 Feb 2023
Learning Functional Transduction Mathieu Chalvidal Thomas Serre Rufin VanRullen AI4CE 38 2 0 01 Feb 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 38 108 0 18 Jan 2023
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 40 72 0 08 Dec 2022
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction Dilip Arumugam Satinder Singh 24 3 0 30 Oct 2022
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach Zohar Rimon Aviv Tamar Gilad Adler OOD OffRL 34 8 0 21 Jun 2022
Transformers are Meta-Reinforcement Learners L. Melo OffRL 41 50 0 14 Jun 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 42 11 0 01 Mar 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 22 140 0 20 Dec 2021
Hierarchical Bayesian Bandits Joey Hong B. Kveton Manzil Zaheer Mohammad Ghavamzadeh FedML 47 37 0 12 Nov 2021
Model-Free Risk-Sensitive Reinforcement Learning Grégoire Delétang Jordi Grau-Moya M. Kunesch Tim Genewein Rob Brekelmans Shane Legg Pedro A. Ortega OOD 8 9 0 04 Nov 2021
Reinforcement Learning with Information-Theoretic Actuation Elliot Catt Marcus Hutter J. Veness 45 0 0 30 Sep 2021
Metalearning Linear Bandits by Prior Update Amit Peleg Naama Pearl Ron Meir 32 18 0 12 Jul 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 270 0 16 Apr 2021
Meta-Thompson Sampling B. Kveton Mikhail Konobeev Manzil Zaheer Chih-Wei Hsu Martin Mladenov Craig Boutilier Csaba Szepesvári 50 61 0 11 Feb 2021
Meta-learning in natural and artificial intelligence Jane X. Wang 30 110 0 26 Nov 2020
Specialization in Hierarchical Learning Systems Heinke Hihn Daniel A. Braun 29 16 0 03 Nov 2020
Meta-trained agents implement Bayes-optimal agents Vladimir Mikulik Grégoire Delétang Tom McGrath Tim Genewein Miljan Martic Shane Legg Pedro A. Ortega OOD FedML 35 40 0 21 Oct 2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts Gilwoo Lee Brian Hou Sanjiban Choudhury S. Srinivasa BDL OffRL 31 7 0 07 Feb 2020
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Gated Linear Networks William H. Guss Tor Lattimore David Budden Avishkar Bhoopchand Christopher Mattern ... Ruslan Salakhutdinov Jianan Wang Peter Toth Simon Schmitt Marcus Hutter AI4CE 10 40 0 30 Sep 2019
Recurrent Neural Processes Timon Willi Jonathan Masci Jürgen Schmidhuber Christian Osendorfer BDL 13 18 0 13 Jun 2019
Towards Finding Longer Proofs Zsolt Zombori Adrián Csiszárik Henryk Michalewski C. Kaliszyk Josef Urban OffRL LRM 29 15 0 30 May 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017