Bootstrapped Meta-Learning

Bootstrapped Meta-Learning

9 September 2021

Sebastian Flennerhag

Yannick Schroecker

Hado van Hasselt

David Silver

Papers citing "Bootstrapped Meta-Learning"

14 / 14 papers shown

Title
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun-Jie Luo 78 1 0 28 Jan 2025
Rethinking Meta-Learning from a Learning Lens Jingyao Wang Wenwen Qiang Chuxiong Sun Lingyu Si Jiangmeng Li 43 1 0 13 Sep 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 32 0 0 27 Jun 2024
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation Li Ding M. Zoghi Guy Tennenholtz Maryam Karimzadehgan 20 0 0 29 Oct 2023
Continual Learning as Computationally Constrained Reinforcement Learning Saurabh Kumar Henrik Marklund Anand Srinivasa Rao Yifan Zhu Hong Jun Jeon Yueyang Liu Benjamin Van Roy CLL 27 22 0 10 Jul 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 34 121 0 19 Jan 2023
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function Clément Bonnet Laurence Midgley Alexandre Laterre 24 1 0 19 Nov 2022
Meta-Gradients in Non-Stationary Environments Jelena Luketina Sebastian Flennerhag Yannick Schroecker David Abel Tom Zahavy Satinder Singh 23 10 0 13 Sep 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration Zijian Gao Yiying Li Kele Xu Yuanzhao Zhai Dawei Feng Bo Ding Xinjun Mao Huaimin Wang 25 0 0 24 Aug 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 28 15 0 19 Jul 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning C. Steinparz Thomas Schmied Fabian Paischer Marius-Constantin Dinu Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter CLL 21 11 0 12 Jul 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 30 100 0 11 Jan 2022
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 317 11,681 0 09 Mar 2017