Learning to reinforcement learn

17 November 2016

Papers citing "Learning to reinforcement learn"

50 / 278 papers shown

Title
Co-Reinforcement Learning for Unified Multimodal Understanding and Generation Jingjing Jiang Chongjie Si Jun Luo Hanwang Zhang Chao Ma 28 0 0 23 May 2025
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 37 1 0 22 May 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 86 3 0 17 Feb 2025
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization Maxence Faldor Robert Tjarko Lange Antoine Cully 104 0 0 04 Feb 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Donglin Zhan Leonardo F. Toso James Anderson 126 3 0 04 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning Kaixi Bao Chenhao Li Yarden As Andreas Krause Marco Hutter OffRL CLL 145 1 0 03 Feb 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun Luo 103 1 0 28 Jan 2025
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent Lucía Güitta-López Jaime Boal Álvaro J. López-López 61 5 0 24 Jan 2025
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments Chenyang Qi Huiping Li Panfeng Huang OffRL 57 0 0 13 Jan 2025
Preference Adaptive and Sequential Text-to-Image Generation Ofir Nabati Guy Tennenholtz ChihWei Hsu Moonkyung Ryu Deepak Ramachandran Yinlam Chow Xiang Li Craig Boutilier MLLM 92 0 0 10 Dec 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales Stefanos Nikolaidis AI4CE 48 0 0 07 Nov 2024
Multi-agent cooperation through learning-aware policy gradients Alexander Meulemans Seijin Kobayashi J. Oswald Nino Scherrer Eric Elmoznino Blake A. Richards Guillaume Lajoie Blaise Agüera y Arcas João Sacramento 62 1 0 24 Oct 2024
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 41 1 0 05 Sep 2024
Automated Design of Agentic Systems Shengran Hu Cong Lu Jeff Clune AI4CE 62 46 0 15 Aug 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 63 0 0 20 Jul 2024
Graceful task adaptation with a bi-hemispheric RL agent Grant Nicholas L. Kuhlmann Gideon Kowadlo 52 0 0 16 Jul 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Alexander Nikulin Ilya Zisman Alexey Zemtsov Viacheslav Sinii 128 5 0 13 Jun 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach Georgios Tsoumplekas C. Athanasiadis Dimitrios I. Doukas Antonios C. Chrysopoulos P. Mitkas AI4TS 57 3 0 09 Jun 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 95 2 0 07 Jun 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 61 2 0 18 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 42 6 0 22 Apr 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 56 7 0 04 Feb 2024
Memory, Space, and Planning: Multiscale Predictive Representations Ida Momennejad 40 2 0 16 Jan 2024
In-Context Reinforcement Learning for Variable Action Spaces Viacheslav Sinii Alexander Nikulin Vladislav Kurenkov Ilya Zisman Sergey Kolesnikov 43 14 0 20 Dec 2023
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 49 27 0 19 Dec 2023
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR Jaeuk Shin Giho Kim Howon Lee Joonho Han Insoon Yang OffRL 55 1 0 09 Dec 2023
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 61 4 0 21 Nov 2023
Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning Richard Bornemann Gautier Hamon Eleni Nisioti Clément Moulin-Frier LRM 40 1 0 01 Nov 2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 65 3 0 19 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 43 2 0 16 Oct 2023
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining Licong Lin Yu Bai Song Mei OffRL 41 44 0 12 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab Homayoun Najjaran 43 11 0 04 Oct 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL Jacob Beck Risto Vuorio Zheng Xiong Shimon Whiteson 68 10 0 26 Sep 2023
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning Guy Azran Mohamad H. Danesh Stefano V. Albrecht Sarah Keren AI4CE 76 1 0 11 Jul 2023
Achieving Stable Training of Reinforcement Learning Agents in Bimodal Environments through Batch Learning E. Hurwitz N. Peace G. Cevora OffRL 14 0 0 03 Jul 2023
One-Shot Learning of Visual Path Navigation for Autonomous Vehicles Zhongying CuiZhu François Charette A. Ghafourian Debo Shi Matthew Cui Anjali Krishnamachar I. S. Bozchalooi 42 1 0 15 Jun 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang Jin Zhang Haozhe Jiang Junyu Zhang Liwei Wang Chongjie Zhang OffRL 39 9 0 31 May 2023
Brain-inspired learning in artificial neural networks: a review Samuel Schmidgall Jascha Achterberg Thomas Miconi Louis Kirsch Rojin Ziaei S. P. Hajiseyedrazi Jason K. Eshraghian 43 52 0 18 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 43 4 0 13 May 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 47 26 0 12 Apr 2023
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity Kaushik Dey S. K. Perepu P. Dasgupta Abir Das 37 1 0 02 Mar 2023
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 78 10 0 23 Feb 2023
Minimax-Bayes Reinforcement Learning Thomas Kleine Buening Christos Dimitrakakis Hannes Eriksson Divya Grover Emilio Jorge OffRL 30 5 0 21 Feb 2023
Meta-Reinforcement Learning via Exploratory Task Clustering Zhendong Chu Hongning Wang OffRL 41 5 0 15 Feb 2023
Learning How to Infer Partial MDPs for In-Context Adaptation and Exploration Chentian Jiang Nan Rosemary Ke Hado van Hasselt 26 3 0 08 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 36 12 0 06 Feb 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability Jonathan Lee Alekh Agarwal Christoph Dann Tong Zhang 39 20 0 31 Jan 2023
Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving Yehui Zhang Joschka Boedecker Chuxuan Li Guyue Zhou 22 0 0 30 Jan 2023
A Tutorial on Meta-Reinforcement Learning Jacob Beck Risto Vuorio Emmy Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 92 126 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 45 112 0 18 Jan 2023