Playing Atari with Deep Reinforcement Learning

19 December 2013

David Silver

Martin Riedmiller

Papers citing "Playing Atari with Deep Reinforcement Learning"

22 / 122 papers shown

Title
Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs Seowoo Jang Soyoung Yoo Namwoo Kang AI4CE 44 70 0 17 Aug 2020
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time Weichen Wang Jiequn Han Zhuoran Yang Zhaoran Wang 54 27 0 16 Aug 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 100 279 0 15 Aug 2020
Overcoming Model Bias for Robust Offline Deep Reinforcement Learning Phillip Swazinna Steffen Udluft Thomas Runkler OffRL 40 83 0 12 Aug 2020
Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey Aske Plaat W. Kosters Mike Preuss BDL OffRL 54 17 0 11 Aug 2020
Feudal Steering: Hierarchical Learning for Steering Angle Prediction Faith Johnson Kristin J. Dana LLMSV 42 11 0 11 Jun 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 66 111 0 18 Mar 2020
Recent Advances and Challenges in Task-oriented Dialog System Zheng Zhang Ryuichi Takanobu Qi Zhu Minlie Huang Xiaoyan Zhu LLMAG 97 176 0 17 Mar 2020
Learning to reinforcement learn for Neural Architecture Search J. Gomez Joaquin Vanschoren 34 8 0 09 Nov 2019
Learning Hierarchical Control for Robust In-Hand Manipulation Tingguang Li K. Srinivasan Max Meng Wenzhen Yuan Jeannette Bohg 48 41 0 24 Oct 2019
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning Sahil Sharma A. Suresh Rahul Ramesh Balaraman Ravindran OffRL 33 36 0 20 May 2017
Discrete Sequential Prediction of Continuous Actions for Deep RL Luke Metz Julian Ibarz Navdeep Jaitly James Davidson BDL OffRL 49 117 0 14 May 2017
Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning Seyed Sajad Mousavi Michael Schukat Enda Howley 43 305 0 28 Apr 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning Ofir Nachum Mohammad Norouzi Kelvin Xu Dale Schuurmans 104 469 0 28 Feb 2017
Learning Control for Air Hockey Striking using Deep Reinforcement Learning Ayal Taitler N. Shimkin 39 10 0 26 Feb 2017
Deep Reinforcement Learning for Visual Object Tracking in Videos Da Zhang H. Maei Xin Eric Wang Yuan-fang Wang 84 116 0 31 Jan 2017
FPGA Architecture for Deep Learning and its application to Planetary Robotics P. Gankidi J. Thangavelautham 19 43 0 26 Jan 2017
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design Ruijin Cang Yaopengxiao Xu Shaohua Chen Yongming Liu Yang Jiao Max Yi Ren AI4CE 3DV 51 156 0 22 Dec 2016
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation L. Tai Jingwei Zhang Ming-Yuan Liu Joschka Boedecker Wolfram Burgard OffRL 58 78 0 21 Dec 2016
Asynchronous Temporal Fields for Action Recognition Gunnar Sigurdsson S. Divvala Ali Farhadi Abhinav Gupta BDL 62 170 0 19 Dec 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 44 3,656 0 08 Feb 2016
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 70 2,992 0 19 Jul 2012