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1602.01783
Cited By
Asynchronous Methods for Deep Reinforcement Learning
4 February 2016
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
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Papers citing
"Asynchronous Methods for Deep Reinforcement Learning"
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Title
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Offline RL With Resource Constrained Online Deployment
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Optimized Recommender Systems with Deep Reinforcement Learning
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On The Transferability of Deep-Q Networks
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Pierre Geurts
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Approximate Newton policy gradient algorithms
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Inderjit Dhillon
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Deep reinforcement learning for guidewire navigation in coronary artery phantom
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Kyunghwan Kim
Chaehyuk Lee
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Inwook Back
J. Roh
Y. Moon
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Young-Hak Kim
OnRL
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05 Oct 2021
Mapless Navigation: Learning UAVs Motion forExploration of Unknown Environments
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David Hyunchul Shim
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04 Oct 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values
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Fabien Couthouis
Natalia Díaz Rodríguez
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04 Oct 2021
Batch size-invariance for policy optimization
Jacob Hilton
K. Cobbe
John Schulman
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01 Oct 2021
Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates
Romain Laroche
Rémi Tachet des Combes
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Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
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Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
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28 Sep 2021
Deep Reinforcement Learning with Adjustments
H. Khorasgani
Haiyan Wang
Chetan Gupta
Susumu Serita
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28 Sep 2021
Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving Vehicles
Shengduo Chen
Yao Sun
Dachuan Li
Qiang Wang
Qi Hao
J. Sifakis
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The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation
Anna Winnicki
Joseph Lubars
Michael Livesay
R. Srikant
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28 Sep 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
238
89
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27 Sep 2021
Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft II
Michal Opanowicz
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26 Sep 2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
Liyuan Zheng
Tanner Fiez
Zane Alumbaugh
Benjamin J. Chasnov
Lillian J. Ratliff
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37
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0
25 Sep 2021
The
f
f
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-Divergence Reinforcement Learning Framework
Chen Gong
Qiang He
Yunpeng Bai
Zhouyi Yang
Xiaoyu Chen
Xinwen Hou
Xianjie Zhang
Yu Liu
Guoliang Fan
42
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0
24 Sep 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience
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Zhiyong Chen
N. Noman
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On Bonus-Based Exploration Methods in the Arcade Learning Environment
Adrien Ali Taïga
W. Fedus
Marlos C. Machado
Aaron Courville
Marc G. Bellemare
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Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning
Junjie Wang
Qichao Zhang
Dongbin Zhao
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Context-Specific Representation Abstraction for Deep Option Learning
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Dong-Ki Kim
Matthew D Riemer
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Jonathan P. How
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20 Sep 2021
Multi-Agent Embodied Visual Semantic Navigation with Scene Prior Knowledge
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Di Guo
Huaping Liu
F. Sun
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Heido Nomm
André Freitas
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CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research
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Bram Wasti
Jiadong Guo
Brandon Cui
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Jia-Wei Liu
O. Teytaud
Benoit Steiner
Yuandong Tian
Hugh Leather
37
69
0
17 Sep 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns
Prasanth Buddareddygari
Travis Zhang
Yezhou Yang
Yi Ren
AAML
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13
0
16 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Jianye Hao
Tianpei Yang
Hongyao Tang
Chenjia Bai
Jinyi Liu
Zhaopeng Meng
Peng Liu
Zhen Wang
OffRL
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14 Sep 2021
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
Xin Guo
Anran Hu
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36
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13 Sep 2021
Computation Rate Maximum for Mobile Terminals in UAV-assisted Wireless Powered MEC Networks with Fairness Constraint
Xiaoyi Zhou
Liang Huang
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13 Sep 2021
Robust Stability of Neural Network-controlled Nonlinear Systems with Parametric Variability
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Reinforcement Learning for Load-balanced Parallel Particle Tracing
Jiayi Xu
Hanqi Guo
Han-Wei Shen
Mukund Raj
Skylar W. Wurster
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30
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13 Sep 2021
Incentivizing an Unknown Crowd
Jing Dong
Shuai Li
Baoxiang Wang
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On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
Washim Uddin Mondal
Mridul Agarwal
Vaneet Aggarwal
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09 Sep 2021
Hindsight Reward Tweaking via Conditional Deep Reinforcement Learning
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Di Xie
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Soft Hierarchical Graph Recurrent Networks for Many-Agent Partially Observable Environments
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Xiaohong Jiang
Guang-hua Song
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Event-Based Communication in Distributed Q-Learning
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M. Mazo
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A Comparative Study of Algorithms for Intelligent Traffic Signal Control
Hrishit Chaudhuri
Vibha Masti
Vishruth Veerendranath
Dr. S Natarajan
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A Survey of Exploration Methods in Reinforcement Learning
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Maziar Gomrokchi
Harsh Satija
H. V. Hoof
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Learning Practically Feasible Policies for Online 3D Bin Packing
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Chenyang Zhu
Xin Xu
Hui Huang
Kai Xu
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Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Aaron Courville
Marc G. Bellemare
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61
639
0
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Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
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146
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Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning
Ran Zhang
Duc Minh Nguyen
Nguyen
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L. Cai
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25 Aug 2021
MimicBot: Combining Imitation and Reinforcement Learning to win in Bot Bowl
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30
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0
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Settling the Variance of Multi-Agent Policy Gradients
J. Kuba
Muning Wen
Yaodong Yang
Linghui Meng
Shangding Gu
Haifeng Zhang
D. Mguni
Jun Wang
26
59
0
19 Aug 2021
Continual Backprop: Stochastic Gradient Descent with Persistent Randomness
Shibhansh Dohare
R. Sutton
A. R. Mahmood
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52
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0
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Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning
Hyungyu Lee
Myeongwoo Jeong
Chanyoung Kim
Hyungtae Lim
Changgue Park
Sungwon Hwang
Hyun Myung
22
4
0
11 Aug 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai
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Yuxiang Sun
Ming Liu
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A Survey on Deep Reinforcement Learning for Data Processing and Analytics
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Can Cui
Yiyuan Xiong
Wei Wang
Zhongle Xie
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29
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Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
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Tao Feng
Tong Xia
Depeng Jin
Yong Li
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3
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10 Aug 2021
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