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Meta-learning of Sequential Strategies
v1v2 (latest)

Meta-learning of Sequential Strategies

8 May 2019
Pedro A. Ortega
Jane X. Wang
Mark Rowland
Tim Genewein
Z. Kurth-Nelson
Razvan Pascanu
N. Heess
J. Veness
Alex Pritzel
Pablo Sprechmann
Siddhant M. Jayakumar
Tom McGrath
Kevin J. Miller
M. G. Azar
Ian Osband
Neil C. Rabinowitz
András Gyorgy
Silvia Chiappa
Simon Osindero
Yee Whye Teh
H. V. Hasselt
Nando de Freitas
M. Botvinick
Shane Legg
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Meta-learning of Sequential Strategies"

50 / 72 papers shown
Title
Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
Po-Chen Kuo
Han Hou
Will Dabney
Edgar Y. Walker
84
0
0
24 Oct 2025
Meta-learning ecological priors from large language models explains human learning and decision making
Meta-learning ecological priors from large language models explains human learning and decision making
Akshay K. Jagadish
Mirko Thalmann
Julian Coda-Forno
Marcel Binz
Eric Schulz
117
1
0
28 Aug 2025
A "good regulator theorem" for embodied agents
A "good regulator theorem" for embodied agents
N. Virgo
Martin Biehl
Manuel Baltieri
Matteo Capucci
77
3
0
04 Aug 2025
Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective
Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective
Léo Gagnon
Eric Elmoznino
Sarthak Mittal
Tom Marty
Tejas Kasetty
Dhanya Sridhar
Guillaume Lajoie
203
0
0
19 Jun 2025
Understanding Prompt Tuning and In-Context Learning via Meta-Learning
Understanding Prompt Tuning and In-Context Learning via Meta-Learning
Tim Genewein
Kevin Wenliang Li
Jordi Grau-Moya
Anian Ruoss
Laurent Orseau
Marcus Hutter
VPVLM
334
3
0
22 May 2025
In-context learning and Occam's razor
In-context learning and Occam's razor
Eric Elmoznino
Tom Marty
Tejas Kasetty
Léo Gagnon
Sarthak Mittal
Mahan Fathi
Dhanya Sridhar
Guillaume Lajoie
469
4
0
17 Oct 2024
Retrieval-Augmented Decision Transformer: External Memory for In-context RL
Retrieval-Augmented Decision Transformer: External Memory for In-context RL
Thomas Schmied
Fabian Paischer
Vihang Patil
M. Hofmarcher
Razvan Pascanu
Sepp Hochreiter
OffRL
389
13
0
09 Oct 2024
Graceful task adaptation with a bi-hemispheric RL agent
Graceful task adaptation with a bi-hemispheric RL agent
Grant Nicholas
L. Kuhlmann
Gideon Kowadlo
156
0
0
16 Jul 2024
Memory Sequence Length of Data Sampling Impacts the Adaptation of
  Meta-Reinforcement Learning Agents
Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents
Menglong Zhang
Fuyuan Qian
Quanying Liu
205
1
0
18 Jun 2024
Transformers represent belief state geometry in their residual stream
Transformers represent belief state geometry in their residual stream
A. Shai
Sarah E. Marzen
Lucas Teixeira
Alexander Gietelink Oldenziel
P. Riechers
AI4CE
342
27
0
24 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
293
6
0
18 May 2024
Towards Understanding the Relationship between In-context Learning and
  Compositional Generalization
Towards Understanding the Relationship between In-context Learning and Compositional GeneralizationInternational Conference on Language Resources and Evaluation (LREC), 2024
Sungjun Han
Sebastian Padó
CoGe
185
5
0
18 Mar 2024
Program-Based Strategy Induction for Reinforcement Learning
Program-Based Strategy Induction for Reinforcement Learning
Carlos G. Correa
Thomas Griffiths
Nathaniel D. Daw
173
1
0
26 Feb 2024
In-context learning agents are asymmetric belief updaters
In-context learning agents are asymmetric belief updaters
Johannes A. Schubert
Akshay K. Jagadish
Marcel Binz
Eric Schulz
LLMAG
169
15
0
06 Feb 2024
Human-like Category Learning by Injecting Ecological Priors from Large
  Language Models into Neural Networks
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks
Akshay K. Jagadish
Julian Coda-Forno
Mirko Thalmann
Eric Schulz
Marcel Binz
148
7
0
02 Feb 2024
Learning Universal Predictors
Learning Universal PredictorsInternational Conference on Machine Learning (ICML), 2024
Jordi Grau-Moya
Tim Genewein
Marcus Hutter
Laurent Orseau
Grégoire Delétang
...
Anian Ruoss
Wenliang Kevin Li
Christopher Mattern
Matthew Aitchison
J. Veness
187
23
0
26 Jan 2024
Social Contract AI: Aligning AI Assistants with Implicit Group Norms
Social Contract AI: Aligning AI Assistants with Implicit Group Norms
Jan-Philipp Fränken
Sam Kwok
Peixuan Ye
Kanishk Gandhi
Dilip Arumugam
Jared Moore
Alex Tamkin
Tobias Gerstenberg
Noah D. Goodman
252
9
0
26 Oct 2023
In-Context Learning Dynamics with Random Binary Sequences
In-Context Learning Dynamics with Random Binary SequencesInternational Conference on Learning Representations (ICLR), 2023
Eric J. Bigelow
Ekdeep Singh Lubana
Robert P. Dick
Hidenori Tanaka
T. Ullman
332
12
0
26 Oct 2023
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
Jake Grigsby
Linxi Fan
Yuke Zhu
OffRLLM&Ro
256
44
0
15 Oct 2023
ContraBAR: Contrastive Bayes-Adaptive Deep RL
ContraBAR: Contrastive Bayes-Adaptive Deep RLInternational Conference on Machine Learning (ICML), 2023
Era Choshen
Aviv Tamar
BDLOffRL
155
10
0
04 Jun 2023
Meta-in-context learning in large language models
Meta-in-context learning in large language modelsNeural Information Processing Systems (NeurIPS), 2023
Julian Coda-Forno
Marcel Binz
Zeynep Akata
M. Botvinick
Jane X. Wang
Eric Schulz
LRM
400
57
0
22 May 2023
Meta-Learned Models of Cognition
Meta-Learned Models of CognitionBehavioral and Brain Sciences (BBS), 2023
Marcel Binz
Ishita Dasgupta
Akshay K. Jagadish
M. Botvinick
Jane X. Wang
Eric Schulz
244
37
0
12 Apr 2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
Adam X. Yang
Laurence Aitchison
Henry B. Moss
277
6
0
22 Feb 2023
Memory-Based Meta-Learning on Non-Stationary Distributions
Memory-Based Meta-Learning on Non-Stationary DistributionsInternational Conference on Machine Learning (ICML), 2023
Tim Genewein
Grégoire Delétang
Anian Ruoss
L. Wenliang
Elliot Catt
Vincent Dutordoir
Jordi Grau-Moya
Laurent Orseau
Marcus Hutter
J. Veness
BDL
205
15
0
06 Feb 2023
Learning Functional Transduction
Learning Functional TransductionNeural Information Processing Systems (NeurIPS), 2023
Mathieu Chalvidal
Thomas Serre
Rufin VanRullen
AI4CE
338
4
0
01 Feb 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task SpaceInternational Conference on Machine Learning (ICML), 2023
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&RoOffRLAI4CELRM
291
146
0
18 Jan 2023
General-Purpose In-Context Learning by Meta-Learning Transformers
General-Purpose In-Context Learning by Meta-Learning Transformers
Louis Kirsch
James Harrison
Jascha Narain Sohl-Dickstein
Luke Metz
325
103
0
08 Dec 2022
Planning to the Information Horizon of BAMDPs via Epistemic State
  Abstraction
Planning to the Information Horizon of BAMDPs via Epistemic State AbstractionNeural Information Processing Systems (NeurIPS), 2022
Dilip Arumugam
Satinder Singh
177
6
0
30 Oct 2022
Beyond Bayes-optimality: meta-learning what you know you don't know
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
194
2
0
30 Sep 2022
Meta Reinforcement Learning with Finite Training Tasks -- a Density
  Estimation Approach
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation ApproachNeural Information Processing Systems (NeurIPS), 2022
Zohar Rimon
Aviv Tamar
Gilad Adler
OODOffRL
271
9
0
21 Jun 2022
Transformers are Meta-Reinforcement Learners
Transformers are Meta-Reinforcement LearnersInternational Conference on Machine Learning (ICML), 2022
Luckeciano C. Melo
OffRL
189
61
0
14 Jun 2022
Online Meta-Learning in Adversarial Multi-Armed Bandits
Online Meta-Learning in Adversarial Multi-Armed Bandits
Ilya Osadchiy
Kfir Y. Levy
Ron Meir
169
3
0
31 May 2022
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in
  Symmetric Zero-sum Games
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum GamesInternational Conference on Machine Learning (ICML), 2022
Siqi Liu
Marc Lanctot
Luke Marris
N. Heess
MLT
803
12
0
31 May 2022
Using Natural Language and Program Abstractions to Instill Human
  Inductive Biases in Machines
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in MachinesNeural Information Processing Systems (NeurIPS), 2022
Sreejan Kumar
Carlos G. Correa
Ishita Dasgupta
Raja Marjieh
Michael Y. Hu
Robert D. Hawkins
Nathaniel D. Daw
Jonathan D. Cohen
Karthik Narasimhan
Thomas Griffiths
AI4CE
242
31
0
23 May 2022
On the link between conscious function and general intelligence in
  humans and machines
On the link between conscious function and general intelligence in humans and machines
Arthur Juliani
Kai Arulkumaran
Shuntaro Sasai
Ryota Kanai
223
27
0
24 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data
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
234
12
0
01 Mar 2022
Meta-Reinforcement Learning with Self-Modifying Networks
Meta-Reinforcement Learning with Self-Modifying NetworksNeural Information Processing Systems (NeurIPS), 2022
Mathieu Chalvidal
Thomas Serre
Rufin VanRullen
KELM
179
7
0
04 Feb 2022
Learning to reason about and to act on physical cascading events
Learning to reason about and to act on physical cascading eventsInternational Conference on Machine Learning (ICML), 2022
Yuval Atzmon
E. Meirom
Shie Mannor
Gal Chechik
LRM
152
0
0
02 Feb 2022
Modeling Human Exploration Through Resource-Rational Reinforcement
  Learning
Modeling Human Exploration Through Resource-Rational Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Marcel Binz
Eric Schulz
158
19
0
27 Jan 2022
Transformers Can Do Bayesian Inference
Transformers Can Do Bayesian InferenceInternational Conference on Learning Representations (ICLR), 2021
Samuel G. Müller
Noah Hollmann
Sebastian Pineda Arango
Josif Grabocka
Katharina Eggensperger
BDLUQCV
780
232
0
20 Dec 2021
Biased Gradient Estimate with Drastic Variance Reduction for Meta
  Reinforcement Learning
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning
Yunhao Tang
137
7
0
14 Dec 2021
Hierarchical Bayesian Bandits
Hierarchical Bayesian BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Joey Hong
Branislav Kveton
Manzil Zaheer
Mohammad Ghavamzadeh
FedML
285
43
0
12 Nov 2021
Model-Free Risk-Sensitive Reinforcement Learning
Model-Free Risk-Sensitive Reinforcement Learning
Grégoire Delétang
Jordi Grau-Moya
M. Kunesch
Tim Genewein
Rob Brekelmans
Shane Legg
Pedro A. Ortega
OOD
153
11
0
04 Nov 2021
Reinforcement Learning with Information-Theoretic Actuation
Reinforcement Learning with Information-Theoretic Actuation
Elliot Catt
Marcus Hutter
J. Veness
143
0
0
30 Sep 2021
Metalearning Linear Bandits by Prior Update
Metalearning Linear Bandits by Prior Update
Amit Peleg
Naama Pearl
Ron Meir
290
19
0
12 Jul 2021
Unifying Gradient Estimators for Meta-Reinforcement Learning via
  Off-Policy Evaluation
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Yunhao Tang
Tadashi Kozuno
Mark Rowland
Rémi Munos
Michal Valko
OffRL
189
9
0
24 Jun 2021
What is Going on Inside Recurrent Meta Reinforcement Learning Agents?
What is Going on Inside Recurrent Meta Reinforcement Learning Agents?
Safa Alver
Doina Precup
AIFin
82
5
0
29 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
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
266
307
0
16 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning
Embedding Adaptation is Still Needed for Few-Shot Learning
Sébastien M. R. Arnold
Fei Sha
VLM
203
7
0
15 Apr 2021
Meta-Thompson Sampling
Meta-Thompson SamplingInternational Conference on Machine Learning (ICML), 2021
Branislav Kveton
Mikhail Konobeev
Manzil Zaheer
Chih-Wei Hsu
Martin Mladenov
Craig Boutilier
Csaba Szepesvári
241
68
0
11 Feb 2021
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