Training Larger Networks for Deep Reinforcement Learning

Training Larger Networks for Deep Reinforcement Learning

16 February 2021

Papers citing "Training Larger Networks for Deep Reinforcement Learning"

17 / 17 papers shown

Title
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Kevin Wang Ishaan Javali Michał Bortkiewicz Tomasz Trzciñski Benjamin Eysenbach SSL OffRL 72 1 0 19 Mar 2025
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining Jie Cheng Ruixi Qiao Gang Xiong Binhua Li Yingwei Ma Binhua Li Yongbin Li Yisheng Lv OffRL OnRL LM&Ro 50 3 0 01 Oct 2024
Simple Ingredients for Offline Reinforcement Learning Edoardo Cetin Andrea Tirinzoni Matteo Pirotta A. Lazaric Yann Ollivier Ahmed Touati OffRL 42 2 0 19 Mar 2024
Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning Zida Wu Mathieu Lauriere Samuel Jia Cong Chua M. Geist Olivier Pietquin Ankur M. Mehta 42 5 0 06 Mar 2024
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Rameswar Panda Marc G. Bellemare Rishabh Agarwal Pablo Samuel Castro OffRL 54 85 0 30 May 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo Haque Ishfaq Qingfeng Lan Pan Xu A. R. Mahmood Doina Precup Anima Anandkumar Kamyar Azizzadenesheli BDL OffRL 28 20 0 29 May 2023
Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments Gustavo Claudio Karl Couto Eric A. Antonelo GAN 30 6 0 09 Feb 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 40 109 0 18 Jan 2023
A Survey on Transformers in Reinforcement Learning Wenzhe Li Hao Luo Zichuan Lin Chongjie Zhang Zongqing Lu Deheng Ye OffRL MU AI4CE 37 56 0 08 Jan 2023
Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes Aviral Kumar Rishabh Agarwal Xinyang Geng George Tucker Sergey Levine OffRL 44 48 0 28 Nov 2022
Revisiting Discrete Soft Actor-Critic Haibin Zhou Zichuan Lin Junyou Li Qiang Fu Wei Yang Deheng Ye 51 12 0 21 Sep 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 31 15 0 19 Jul 2022
Fast Population-Based Reinforcement Learning on a Single Machine Arthur Flajolet Claire Bizon Monroc Karim Beguir Thomas Pierrot OffRL 30 10 0 17 Jun 2022
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments Ryan Sullivan J. K. Terry Benjamin Black John P. Dickerson 27 8 0 14 May 2022
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 53 56 0 19 Oct 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 286 341 0 14 Sep 2020
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen Anton Van Den Hengel SSeg 260 1,494 0 30 Nov 2016