A Survey of Meta-Reinforcement Learning

19 January 2023

Papers citing "A Survey of Meta-Reinforcement Learning"

50 / 86 papers shown

Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki P. Fränti Laura Ruotsalainen BDL AI4CE 27 0 0 12 May 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu W. Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 85 0 0 27 Apr 2025
Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey Ahsan Bilal Muhammad Ahmed Mohsin Muhammad Umer Muhammad Awais Khan Bangash Muhammad Ali Jamshed LLMAG LRM AI4CE 49 0 0 20 Apr 2025
Free Random Projection for In-Context Reinforcement Learning Tomohiro Hayase B. Collins Nakamasa Inoue 14 0 0 09 Apr 2025
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers Jake Grigsby Yuqi Xie Justin Sasek Steven Zheng Yuke Zhu OffRL 26 0 0 06 Apr 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective Zhuoren Li Guizhe Jin Ran Yu Z. Chen Nan I. Li ... Lu Xiong Bo Leng Jia Hu I. Kolmanovsky Dimitar Filev 44 0 0 31 Mar 2025
Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning Yuxiao Qu Matthew Y. R. Yang Amrith Rajagopal Setlur Lewis Tunstall E. Beeching Ruslan Salakhutdinov Aviral Kumar OffRL 54 11 0 10 Mar 2025
SFO: Piloting VLM Feedback for Offline RL Jacob Beck OffRL 31 0 0 02 Mar 2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks Luise Ge Michael Lanier Anindya Sarkar Bengisu Guresti Yevgeniy Vorobeychik Chongjie Zhang 42 0 0 26 Feb 2025
Training a Generally Curious Agent Fahim Tajwar Yiding Jiang Abitha Thankaraj Sumaita Sadia Rahman J. Zico Kolter Jeff Schneider Ruslan Salakhutdinov 115 1 0 24 Feb 2025
Yes, Q-learning Helps Offline In-Context RL Denis Tarasov Alexander Nikulin Ilya Zisman Albina Klepach Andrei Polubarov Nikita Lyubaykin Alexander Derevyagin Igor Kiselev Vladislav Kurenkov OffRL OnRL 88 0 0 24 Feb 2025
Develop AI Agents for System Engineering in Factorio Neel Kant 37 0 0 03 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning Kaixi Bao Chenhao Li Yarden As Andreas Krause Marco Hutter OffRL CLL 98 1 0 03 Feb 2025
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Jake Grigsby Justin Sasek Samyak Parajuli Daniel Adebi Amy Zhang Yuke Zhu OffRL 23 2 0 17 Nov 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales Stefanos Nikolaidis AI4CE 23 0 0 07 Nov 2024
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data Chengrui Qu Laixi Shi Kishan Panaganti Pengcheng You Adam Wierman OffRL OnRL 34 0 0 06 Nov 2024
Role Play: Learning Adaptive Role-Specific Strategies in Multi-Agent Interactions Weifan Long Wen Wen Peng Zhai Lihua Zhang 21 0 0 02 Nov 2024
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression Yixiu Mao Qi Wang Chen Chen Yun Qu Xiangyang Ji OffRL 32 6 0 25 Oct 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator Siyuan Xu Minghui Zhu OffRL 18 1 0 13 Oct 2024
Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck Shikha Surana Manus McAuliffe Oliver Bent Thomas D. Barrett Juan Jose Garau Luis Paul Duckworth AI4CE 28 0 0 10 Oct 2024
ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI Ahmad Elawady Gunjan Chhablani Ram Ramrakhya Karmesh Yadav Dhruv Batra Z. Kira Andrew Szot OffRL 21 0 0 03 Oct 2024
Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN Fatemeh Lotfi Fatemeh Afghah AI4CE 18 1 0 30 Sep 2024
Personalisation via Dynamic Policy Fusion Ajsal Shereef Palattuparambil T. G. Karimpanal Santu Rana 19 0 0 30 Sep 2024
Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks Ahmed Shokry Walid Gomaa Tobias Zaenker Murad Dawood Shady A. Maged Mohammed I. Awad Maren Bennewitz Maren Bennewitz OffRL 30 0 0 24 Sep 2024
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing Kenneth Stewart Michael Neumeier Sumit Bam Shrestha Garrick Orchard Emre Neftci 27 0 0 28 Aug 2024
Black box meta-learning intrinsic rewards for sparse-reward environments Octavio Pappalardo Rodrigo Ramele Juan Miguel Santos OffRL 25 0 0 31 Jul 2024
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning Hosung Lee Sejin Kim Seungpil Lee Sanha Hwang Jihwan Lee Byung-Jun Lee Sundong Kim LRM 35 8 0 30 Jul 2024
SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments Shu Ishida João F. Henriques 25 0 0 26 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 40 3 0 09 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 27 1 0 30 Jun 2024
A Bayesian Solution To The Imitation Gap Risto Vuorio Mattie Fellows Cong Lu Clémence Grislain Shimon Whiteson 25 1 0 29 Jun 2024
Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style Planning Bradley Burega John D. Martin Luke Kapeluck Michael H. Bowling 27 0 0 27 Jun 2024
Constrained Meta Agnostic Reinforcement Learning Karam Daaboul Florian Kuhm Tim Joseph J. Marius Zoellner 26 0 0 20 Jun 2024
Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents Menglong Zhang Fuyuan Qian Quanying Liu 23 1 0 18 Jun 2024
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences Takuya Hiraoka Guanquan Wang Takashi Onishi Yoshimasa Tsuruoka 29 0 0 23 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 32 2 0 18 May 2024
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters J. Lavington Ke Zhang Vasileios Lioutas Matthew Niedoba Yunpeng Liu ... Xiaoxuan Liang Setareh Dabiri Adam Scibior Berend Zwartsenberg Frank D. Wood 22 5 0 07 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 4 0 22 Apr 2024
Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement Learning Tidiane Camaret Ndir André Biedenkapp Noor H. Awad OffRL 27 1 0 15 Apr 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity Vahid Balazadeh Meresht Keertana Chidambaram Viet Nguyen Rahul G. Krishnan Vasilis Syrgkanis 33 0 0 10 Apr 2024
A Moreau Envelope Approach for LQR Meta-Policy Estimation Ashwin Aravind Taha Toghani César A. Uribe 21 1 0 26 Mar 2024
Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization Sai Prasanna Karim Farid Raghu Rajan André Biedenkapp 45 2 0 16 Mar 2024
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning Zohar Rimon Tom Jurgenson Orr Krupnik Gilad Adler Aviv Tamar 24 8 0 14 Mar 2024
Deep Reinforcement Learning for Modelling Protein Complexes Ziqi Gao Tao Feng Jiaxuan You Chenyi Zi Yan Zhou Chen Zhang Jia Li 34 5 0 11 Mar 2024
SplAgger: Split Aggregation for Meta-Reinforcement Learning Jacob Beck Matthew Jackson Risto Vuorio Zheng Xiong Shimon Whiteson OffRL 19 2 0 05 Mar 2024
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning Anthony Liang Guy Tennenholtz Chih-Wei Hsu Yinlam Chow Erdem Biyik Craig Boutilier OffRL 33 1 0 25 Feb 2024
Hierarchical Transformers are Efficient Meta-Reinforcement Learners Gresa Shala André Biedenkapp Josif Grabocka OffRL 27 4 0 09 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li Hai Zhang Xinyu Zhang Shatong Zhu Junqiao Zhao Junqiao Zhao Pheng-Ann Heng OffRL 26 7 0 04 Feb 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models M. Pternea Prerna Singh Abir Chakraborty Y. Oruganti M. Milletarí Sayli Bapat Kebei Jiang OffRL 11 6 0 02 Feb 2024
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR Leonardo F. Toso Donglin Zhan James Anderson Han Wang 21 9 0 25 Jan 2024