Sample-Efficient Automated Deep Reinforcement Learning

Sample-Efficient Automated Deep Reinforcement Learning

3 September 2020

André Biedenkapp

Papers citing "Sample-Efficient Automated Deep Reinforcement Learning"

9 / 9 papers shown

Title
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Weihao Zeng Yuzhen Huang Lulu Zhao Yijun Wang Zifei Shan Junxian He LRM 43 7 0 23 Dec 2024
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search A. Chebykin A. Dushatskiy Tanja Alderliesten Peter A. N. Bosman 39 0 0 28 Jul 2023
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 31 15 0 19 Jul 2022
ARLO: A Framework for Automated Reinforcement Learning Marco Mussi Davide Lombarda Alberto Maria Metelli F. Trovò Marcello Restelli OffRL 31 4 0 20 May 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 33 100 0 11 Jan 2022
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents A. Lazaridis I. Vlahavas OffRL 23 2 0 11 Oct 2021
Evolving Reinforcement Learning Algorithms John D. Co-Reyes Yingjie Miao Daiyi Peng Esteban Real Sergey Levine Quoc V. Le Honglak Lee Aleksandra Faust 46 73 0 08 Jan 2021
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder Vu Nguyen Stephen J. Roberts OffRL 75 83 0 06 Feb 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016