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Convergent and Efficient Deep Q Network Algorithm

29 June 2021

Papers citing "Convergent and Efficient Deep Q Network Algorithm"

30 / 30 papers shown

Title
Breaking the Deadly Triad with a Target Network Shangtong Zhang Hengshuai Yao Shimon Whiteson AAML 52 45 0 21 Jan 2021
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay Scott Fujimoto David Meger Doina Precup 76 58 0 12 Jul 2020
Gradient Temporal-Difference Learning with Regularized Corrections Sina Ghiassian Andrew Patterson Shivam Garg Dhawal Gupta Adam White Martha White 121 42 0 01 Jul 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 79 362 0 27 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 77 519 0 30 Mar 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 169 1,824 0 13 Dec 2019
Deep Reinforcement Learning Control of Quantum Cartpoles Zhikang T. Wang Yuto Ashida Masahito Ueda 52 40 0 21 Oct 2019
A Kernel Loss for Solving the Bellman Equation Yihao Feng Lihong Li Qiang Liu 68 70 0 25 May 2019
Deep Residual Reinforcement Learning Shangtong Zhang Wendelin Bohmer Shimon Whiteson 55 31 0 03 May 2019
Towards Characterizing Divergence in Deep Q-Learning Joshua Achiam Ethan Knight Pieter Abbeel 53 98 0 21 Mar 2019
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity Aditya Bhatt Daniel Palenicek Boris Belousov Max Argus Artemij Amiranashvili Thomas Brox Jan Peters 93 53 0 14 Feb 2019
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 79 418 0 07 Dec 2018
Deep Reinforcement Learning and the Deadly Triad H. V. Hasselt Yotam Doron Florian Strub Matteo Hessel Nicolas Sonnerat Joseph Modayil OffRL 81 230 0 06 Dec 2018
Observe and Look Further: Achieving Consistent Performance on Atari Tobias Pohlen Bilal Piot Todd Hester M. G. Azar Dan Horgan ... John Quan Mel Vecerík Matteo Hessel Rémi Munos Olivier Pietquin 53 121 0 29 May 2018
Reinforcement Learning from Imperfect Demonstrations Yang Gao Huazhe Xu Ji Lin Feng Yu Sergey Levine Trevor Darrell 72 202 0 14 Feb 2018
Rainbow: Combining Improvements in Deep Reinforcement Learning Matteo Hessel Joseph Modayil H. V. Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot M. G. Azar David Silver OffRL 107 2,268 0 06 Oct 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Marlos C. Machado Marc G. Bellemare Erik Talvitie J. Veness Matthew J. Hausknecht Michael Bowling 83 557 0 18 Sep 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 98 1,506 0 21 Jul 2017
Convergent Tree Backup and Retrace with Function Approximation Ahmed Touati Pierre-Luc Bacon Doina Precup Pascal Vincent 88 40 0 25 May 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 161 472 0 28 Feb 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 110 1,342 0 27 Feb 2017
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 138 615 0 08 Jun 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection Sergey Levine P. Pastor A. Krizhevsky Deirdre Quillen 180 2,073 0 07 Mar 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,764 0 20 Nov 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 223 3,789 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,658 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,272 0 09 Sep 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 326 18,647 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,006 0 19 Jul 2012