Meta-trained agents implement Bayes-optimal agents

21 October 2020

Papers citing "Meta-trained agents implement Bayes-optimal agents"

28 / 28 papers shown

Title
In-context learning and Occam's razor Eric Elmoznino Tom Marty Tejas Kasetty Léo Gagnon Sarthak Mittal Mahan Fathi Dhanya Sridhar Guillaume Lajoie 39 1 0 17 Oct 2024
What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions Liyi Zhang Michael Y. Li Thomas L. Griffiths 61 3 0 06 Jun 2024
On Uncertainty Quantification for Near-Bayes Optimal Algorithms Ziyu Wang Chris Holmes UQCV 39 2 0 28 Mar 2024
In-context learning agents are asymmetric belief updaters Johannes A. Schubert A. Jagadish Marcel Binz Eric Schulz LLMAG 15 8 0 06 Feb 2024
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 24 11 0 26 Jan 2024
Bayes in the age of intelligent machines Thomas L. Griffiths Jian-Qiao Zhu Erin Grant R. Thomas McCoy AI4CE 32 17 0 16 Nov 2023
Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity Yiran Mao Madeline G. Reinecke M. Kunesch Edgar A. Duénez-Guzmán Ramona Comanescu Julia Haas Joel Z Leibo 27 2 0 29 May 2023
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
Minimax-Bayes Reinforcement Learning Thomas Kleine Buening Christos Dimitrakakis Hannes Eriksson Divya Grover Emilio Jorge OffRL 16 5 0 21 Feb 2023
Memory-Based Meta-Learning on Non-Stationary Distributions Tim Genewein Grégoire Delétang Anian Ruoss L. Wenliang Elliot Catt Vincent Dutordoir Jordi Grau-Moya Laurent Orseau Marcus Hutter J. Veness BDL 18 11 0 06 Feb 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 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 35 108 0 18 Jan 2023
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 34 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
Beyond Bayes-optimality: meta-learning what you know you don't know Jordi Grau-Moya Grégoire Delétang M. Kunesch Tim Genewein Elliot Catt ... Jane X. Wang Marcus Hutter Christopher Summerfield Shane Legg Pedro A. Ortega 13 0 0 30 Sep 2022
Recurrent networks, hidden states and beliefs in partially observable environments Gaspard Lambrechts Adrien Bolland D. Ernst 13 12 0 06 Aug 2022
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games Siqi Liu Marc Lanctot Luke Marris N. Heess MLT 131 12 0 31 May 2022
Modeling Human Behavior Part I -- Learning and Belief Approaches Andrew Fuchs A. Passarella M. Conti 35 7 0 13 May 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 40 11 0 01 Mar 2022
Learning Causal Overhypotheses through Exploration in Children and Computational Models Eliza Kosoy Adrian Liu Jasmine Collins David M. Chan Jessica B. Hamrick Nan Rosemary Ke Sandy H Huang Bryanna Kaufmann John F. Canny Alison Gopnik CML 22 9 0 21 Feb 2022
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
Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes Satpreet H. Singh F. V. Breugel Rajesh P. N. Rao Bingni W. Brunton 27 4 0 25 Sep 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents Jane X. Wang Michael King Nicolas Porcel Z. Kurth-Nelson Tina Zhu ... Neil C. Rabinowitz Loic Matthey Demis Hassabis Alexander Lerchner M. Botvinick OffRL 23 30 0 04 Feb 2021
Learning Not to Learn: Nature versus Nurture in Silico R. T. Lange Henning Sprekeler 22 11 0 09 Oct 2020
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning L. Zintgraf Leo Feng Cong Lu Maximilian Igl Kristian Hartikainen Katja Hofmann Shimon Whiteson 13 40 0 02 Oct 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 177 639 0 19 Sep 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