State of the Art Control of Atari Games Using Shallow Reinforcement Learning

4 December 2015

Papers citing "State of the Art Control of Atari Games Using Shallow Reinforcement Learning"

24 / 24 papers shown

Title
Neuroevolution of Self-Attention Over Proto-Objects Rafael C. Pinto Anderson R. Tavares OCL 202 0 0 30 Apr 2025
Social Interpretable Reinforcement Learning Leonardo Lucio Custode Giovanni Iacca OffRL 47 2 0 27 Jan 2024
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search Wenqing Zheng S. Sharan Zhiwen Fan Kevin Wang Yihan Xi Zhangyang Wang 58 9 0 30 Dec 2022
Agent-State Construction with Auxiliary Inputs Ruo Yu Tao Adam White Marlos C. Machado 30 5 0 15 Nov 2022
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control Yanfei Xiang Xin Wang Shu Hu Bin Zhu Xiaomeng Huang Xi Wu Siwei Lyu SSL 29 5 0 20 Oct 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 37 141 0 15 Jun 2022
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation Alex Long Alan Blair H. V. Hoof 26 3 0 07 Mar 2022
On the Convergence of SARSA with Linear Function Approximation Shangtong Zhang Rémi Tachet des Combes Romain Laroche 18 10 0 14 Feb 2022
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 42 89 0 14 Jul 2021
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 26 11 0 16 Dec 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Guy Van den Broeck Yitao Liang Mathias Niepert OffRL 19 3 0 25 Feb 2020
Harnessing Structures for Value-Based Planning and Reinforcement Learning Yuzhe Yang Guo Zhang Zhi Xu Dina Katabi OffRL 27 31 0 26 Sep 2019
Reinforcement Learning for Portfolio Management Angelos Filos 27 35 0 12 Sep 2019
Deep Policies for Width-Based Planning in Pixel Domains Miquel Junyent Anders Jonsson Vicencc Gómez 36 10 0 12 Apr 2019
Exploration in Feature Space for Reinforcement Learning S. N. Sasikumar 52 4 0 05 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 23 544 0 18 Sep 2017
Linear Stochastic Approximation: Constant Step-Size and Iterate Averaging Chandrashekar Lakshminarayanan Csaba Szepesvári 21 12 0 12 Sep 2017
Count-Based Exploration in Feature Space for Reinforcement Learning Jarryd Martin S. N. Sasikumar Tom Everitt Marcus Hutter 24 122 0 25 Jun 2017
Deep Exploration via Randomized Value Functions Ian Osband Benjamin Van Roy Daniel Russo Zheng Wen 41 300 0 22 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Nonparametric General Reinforcement Learning Jan Leike OffRL 36 26 0 28 Nov 2016
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi VGen 30 1,512 0 16 Sep 2016
Unifying Count-Based Exploration and Intrinsic Motivation Marc G. Bellemare S. Srinivasan Georg Ostrovski Tom Schaul D. Saxton Rémi Munos 29 1,455 0 06 Jun 2016
Learning values across many orders of magnitude H. V. Hasselt A. Guez Matteo Hessel Volodymyr Mnih David Silver 17 169 0 24 Feb 2016