Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning

4 February 2025

Papers citing "Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning"

37 / 37 papers shown

Title
The Role of Diversity in In-Context Learning for Large Language Models Wenyang Xiao Haoyu Zhao Lingxiao Huang 65 0 0 26 May 2025
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Brian B. Moser Arundhati S. Shanbhag Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 230 0 0 23 May 2025
Learning Stabilizing Policies via an Unstable Subspace Representation Leonardo F. Toso Lintao Ye James Anderson 73 0 0 02 May 2025
Gymnasium: A Standard Interface for Reinforcement Learning Environments Mark Towers Ariel Kwiatkowski Jordan Terry John U. Balis Gianluca De Cola ... Andrea Pierré Sander Schulhoff Jun Jet Tai Hannah Tan Omar G. Younis AuLLM OffRL 69 196 0 24 Jul 2024
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control Bruce D. Lee Leonardo F. Toso Thomas T. Zhang James Anderson Nikolai Matni 67 2 0 08 Jul 2024
Model-Agnostic Zeroth-Order Policy Optimization for Meta-Learning of Ergodic Linear Quadratic Regulators Yunian Pan Quanyan Zhu 32 2 0 27 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning Donglin Zhan James Anderson OOD 72 2 0 11 May 2024
A Moreau Envelope Approach for LQR Meta-Policy Estimation Ashwin Aravind Taha Toghani César A. Uribe 78 2 0 26 Mar 2024
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR Leonardo F. Toso Donglin Zhan James Anderson Han Wang 80 10 0 25 Jan 2024
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification Bruce D. Lee Anders Rantzer Nikolai Matni 66 6 0 29 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 68 1 0 09 Dec 2023
Convergence of Gradient-based MAML in LQR N. Musavi Geir E. Dullerud 60 6 0 12 Sep 2023
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning Yu Yang Hao Kang Baharan Mirzasoleiman 72 35 0 02 Jun 2023
Learning Personalized Models with Clustered System Identification Leonardo F. Toso Hang Wang James Anderson 56 10 0 03 Apr 2023
Multi-Task Imitation Learning for Linear Dynamical Systems Thomas T. Zhang Katie Kang Bruce D. Lee Claire Tomlin Sergey Levine Stephen Tu Nikolai Matni 85 24 0 01 Dec 2022
Adaptive Second Order Coresets for Data-efficient Machine Learning Omead Brandon Pooladzandi David Davini Baharan Mirzasoleiman 78 64 0 28 Jul 2022
GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning Rishabh Tiwari Krishnateja Killamsetty Rishabh K. Iyer Pradeep Shenoy BDL CLL 59 136 0 18 Nov 2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms Ali Ghadirzadeh Xi Chen Petra Poklukar Chelsea Finn Mårten Björkman Danica Kragic BDL 79 40 0 05 Mar 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 129 201 0 27 Feb 2021
Information-theoretic Task Selection for Meta-Reinforcement Learning Ricardo Luna Gutierrez Matteo Leonetti 55 18 0 02 Nov 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning Xingyou Song Yuxiang Yang K. Choromanski Ken Caluwaerts Wenbo Gao Chelsea Finn Jie Tan 170 80 0 02 Mar 2020
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks Chaoyue Liu Libin Zhu M. Belkin ODL 68 262 0 29 Feb 2020
Learning Fast Adaptation with Meta Strategy Optimization Wenhao Yu Jie Tan Yunfei Bai Erwin Coumans Sehoon Ha 72 93 0 28 Sep 2019
ES-MAML: Simple Hessian-Free Meta Learning Xingyou Song Wenbo Gao Yuxiang Yang K. Choromanski Aldo Pacchiano Yunhao Tang 109 118 0 25 Sep 2019
Meta Reinforcement Learning for Sim-to-real Domain Adaptation Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 160 105 0 16 Sep 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 138 2,333 0 04 Jul 2019
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? Samet Oymak Mahdi Soltanolkotabi ODL 51 177 0 25 Dec 2018
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems Dhruv Malik A. Pananjady Kush S. Bhatia K. Khamaru Peter L. Bartlett Martin J. Wainwright 51 198 0 20 Dec 2018
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 63 210 0 16 Oct 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 166 1,061 0 24 May 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 117 548 0 30 Mar 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator Maryam Fazel Rong Ge Sham Kakade M. Mesbahi 77 604 0 15 Jan 2018
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 92 1,538 0 10 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,899 0 09 Mar 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification Wenhao Yu Jie Tan Chenxi Liu Greg Turk OffRL 73 307 0 08 Feb 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 979 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 91 1,018 0 09 Nov 2016