Playing Atari with Deep Reinforcement Learning

19 December 2013

David Silver

Martin Riedmiller

Papers citing "Playing Atari with Deep Reinforcement Learning"

50 / 122 papers shown

Title
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 57 1 0 07 Oct 2024
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 51 1 0 04 Oct 2024
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 373 6 0 02 Oct 2024
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 81 3 0 01 Oct 2024
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids Caio Fabio Oliveira da Silva Azita Dabiri B. de Schutter 58 4 0 17 Sep 2024
Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learning Shreyas S R OffRL OnRL 41 0 0 10 Sep 2024
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy Deshmukh 334 16 0 31 Aug 2024
Learning Multi-agent Multi-machine Tending by Mobile Robots Abdalwhab Abdalwhab Giovanni Beltrame Samira Ebrahimi Kahou David St-Onge 97 1 0 29 Aug 2024
Domain Adaptation for Offline Reinforcement Learning with Limited Samples Weiqin Chen Sandipan Mishra Santiago Paternain OffRL 65 2 0 22 Aug 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 129 3 0 20 Aug 2024
A Survey on Self-play Methods in Reinforcement Learning Chao Yu Zelai Xu Chengdong Ma Chao Yu Weijuan Tu ... Deheng Ye Wenbo Ding Yaodong Yang Yu Wang Yu Wang SyDa SSL OnRL 77 8 0 02 Aug 2024
Functional Acceleration for Policy Mirror Descent Veronica Chelu Doina Precup 44 0 0 23 Jul 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 104 3 0 18 Jul 2024
Optimistic Q-learning for average reward and episodic reinforcement learning Priyank Agrawal Shipra Agrawal 68 5 0 18 Jul 2024
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning Augustine N. Mavor-Parker Matthew J. Sargent Caswell Barry Lewis D. Griffin Clare Lyle 68 2 0 09 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 82 21 0 05 Jul 2024
Neural Networks Trained by Weight Permutation are Universal Approximators Yongqiang Cai Gaohang Chen Zhonghua Qiao 94 1 0 01 Jul 2024
Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing Han Jiang Xiaoyuan Yi Zhihua Wei Ziang Xiao Shu Wang Xing Xie ELM ALM 81 8 0 20 Jun 2024
Revealing the Learning Process in Reinforcement Learning Agents Through Attention-Oriented Metrics Charlotte Beylier Simon M. Hofmann Nico Scherf 96 0 0 20 Jun 2024
Advantage Alignment Algorithms Juan Agustin Duque Milad Aghajohari Tim Cooijmans Tianyu Zhang Rameswar Panda Gauthier Gidel Aaron Courville 42 0 0 20 Jun 2024
Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation Jiaming Zhou Teli Ma Kun-Yu Lin Ronghe Qiu Zifan Wang Junwei Liang 82 7 0 20 Jun 2024
UniZero: Generalized and Efficient Planning with Scalable Latent World Models Yuan Pu Yazhe Niu Jiyuan Ren Zhenjie Yang Hongsheng Li Yu Liu OffRL 105 2 0 15 Jun 2024
RILe: Reinforced Imitation Learning Mert Albaba Sammy Christen Christoph Gebhardt Thomas Langarek Otmar Hilliges Otmar Hilliges 72 1 0 12 Jun 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 134 2 0 07 Jun 2024
Value Improved Actor Critic Algorithms Yaniv Oren Moritz A. Zanger Pascal R. van der Vaart M. Spaan Wendelin Bohmer Wendelin Bohmer OffRL 53 0 0 03 Jun 2024
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He C. Chang Huazhe Xu Ling Pan 108 7 0 03 Jun 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 92 0 0 29 May 2024
AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents Christopher Rawles Sarah Clinckemaillie Yifan Chang Jonathan Waltz Gabrielle Lau ... Daniel Toyama Robert Berry Divya Tyamagundlu Timothy Lillicrap Oriana Riva LLMAG 85 53 0 23 May 2024
Fully Distributed Fog Load Balancing with Multi-Agent Reinforcement Learning Maad Ebrahim A. Hafid 40 0 0 15 May 2024
I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning Yashuai Yan Esteve Valls Mascaro Tobias Egle Dongheui Lee 56 5 0 14 May 2024
Policy Learning with a Language Bottleneck Megha Srivastava Cédric Colas Dorsa Sadigh Jacob Andreas 74 3 0 07 May 2024
CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics David Valencia Henry Williams Trevor Gee Bruce A MacDonaland Minas V. Liarokapis Minas Liarokapis OffRL 102 2 0 04 May 2024
A Survey on Large Language Model-Based Game Agents Sihao Hu Tiansheng Huang Gaowen Liu Ramana Rao Kompella Gaowen Liu Selim Furkan Tekin Yichang Xu Zachary Yahn Ling Liu LLMAG LM&Ro AI4CE LM&MA 90 55 0 02 Apr 2024
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis Rui Liu Erfaun Noorani Pratap Tokekar John S. Baras 56 1 0 13 Mar 2024
Ant Colony Sampling with GFlowNets for Combinatorial Optimization Minsu Kim Sanghyeok Choi Hyeon-Seob Kim Jiwoo Son Jinkyoo Park Yoshua Bengio 69 28 0 11 Mar 2024
Zero-Shot Reinforcement Learning via Function Encoders Tyler Ingebrand Amy Zhang Ufuk Topcu OffRL 56 3 0 30 Jan 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning Jianlan Luo Zheyuan Hu Charles Xu You Liang Tan Jacob Berg Archit Sharma S. Schaal Chelsea Finn Abhishek Gupta Sergey Levine OffRL OnRL 46 44 0 29 Jan 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots Suning Huang Boyuan Chen Huazhe Xu Vincent Sitzmann 56 3 0 24 Jan 2024
LLM A: Human in the Loop Large Language Models Enabled A Search for Robotics Hengjia Xiao Peng Wang Mingzhe Yu Mattia Robbiani 29 21 0 04 Dec 2023
Critical Influence of Overparameterization on Sharpness-aware Minimization Sungbin Shin Dongyeop Lee Maksym Andriushchenko Namhoon Lee AAML 69 1 0 29 Nov 2023
Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications Jun Wang Hosein Hasanbeig Kaiyuan Tan Zihe Sun Y. Kantaros 59 3 0 28 Nov 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving Hao Sha Yao Mu Yuxuan Jiang Li Chen Chenfeng Xu Ping Luo Shengbo Eben Li Masayoshi Tomizuka Wei Zhan Mingyu Ding 192 170 0 04 Oct 2023
Policy Gradient Converges to the Globally Optimal Policy for Nearly Linear-Quadratic Regulators Yin-Huan Han Meisam Razaviyayn Renyuan Xu 36 5 0 15 Mar 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 83 10 0 11 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 77 0 0 04 Feb 2023
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems Xiao-Yang Liu Ming Zhu S. Borst A. Elwalid 62 9 0 04 Feb 2023
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning Henrique Donancio L. Vercouter H. Roclawski AI4CE 56 1 0 20 Oct 2022
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits Siddhartha Banerjee Sean R. Sinclair Milind Tambe Lily Xu Chao Yu AI4TS 74 7 0 30 Sep 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 40 0 0 15 Feb 2022
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs Aayam Shrestha Stefan Lee Prasad Tadepalli Alan Fern OffRL 80 23 0 18 Oct 2020