Asynchronous Methods for Deep Reinforcement Learning

4 February 2016

Volodymyr Mnih

Adria Puigdomenech Badia

David Silver

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

50 / 1,552 papers shown

Title
On the Reuse Bias in Off-Policy Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Dong Yan Jun Zhu OffRL 45 3 0 15 Sep 2022
Sparsity Inducing Representations for Policy Decompositions Ashwin Khadke H. Geyer 21 1 0 15 Sep 2022
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 33 5 0 07 Sep 2022
Model-Free Deep Reinforcement Learning in Software-Defined Networks Luke Borchjes Clement N. Nyirenda L. Leenen 29 1 0 03 Sep 2022
Transformers are Sample-Efficient World Models Vincent Micheli Eloi Alonso Franccois Fleuret VLM OffRL 33 163 0 01 Sep 2022
A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks Paulina Stevia Nouwou Mindom Amin Nikanjam Foutse Khomh OffRL 22 10 0 25 Aug 2022
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space Yining Chen Ke Wang Guang-hua Song Xiaohong Jiang 28 3 0 23 Aug 2022
Entropy Augmented Reinforcement Learning Jianfei Ma 36 0 0 19 Aug 2022
Improving Post-Processing of Audio Event Detectors Using Reinforcement Learning Petros Giannakopoulos A. Pikrakis Y. Cotronis 26 3 0 19 Aug 2022
A Deep Reinforcement Learning-based Adaptive Charging Policy for WRSNs Ngoc H. Bui Phi Le Nguyen Viet Anh Nguyen Phan-Thuan Do 11 6 0 16 Aug 2022
On the Importance of Critical Period in Multi-stage Reinforcement Learning Junseok Park Inwoo Hwang Min Whoo Lee Hyunseok Oh Minsu Lee Youngki Lee Byoung-Tak Zhang OffRL 24 0 0 09 Aug 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang Ruiyu Wang Xinrun Wang Zhen Wang OffRL 27 3 0 07 Aug 2022
Recurrent networks, hidden states and beliefs in partially observable environments Gaspard Lambrechts Adrien Bolland D. Ernst 25 12 0 06 Aug 2022
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment Yilei Zeng Jiali Duan Yongqian Li Emilio Ferrara Lerrel Pinto Chloe Kuo Stefanos Nikolaidis 51 3 0 04 Aug 2022
Bayesian regularization of empirical MDPs Samarth Gupta Daniel N. Hill Lexing Ying Inderjit Dhillon OffRL 32 0 0 03 Aug 2022
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL J. Kuba Xidong Feng Shiyao Ding Hao Dong Jun Wang Yaodong Yang 26 16 0 02 Aug 2022
DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement Learning Dazhen Deng Aoyu Wu Huamin Qu Yingcai Wu 42 35 0 02 Aug 2022
Improved Policy Optimization for Online Imitation Learning J. Lavington Sharan Vaswani Mark Schmidt OffRL 28 6 0 29 Jul 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks Han Li Changsheng Li Kaituo Feng Ye Yuan Guoren Wang H. Zha 34 13 0 22 Jul 2022
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 28 1 0 17 Jul 2022
Robust AI Driving Strategy for Autonomous Vehicles S. Nageshrao Yousaf Rahman V. Ivanovic M. Janković E. Tseng M. Hafner Dimitar Filev 44 4 0 16 Jul 2022
Asset Allocation: From Markowitz to Deep Reinforcement Learning Ricard Durall 33 4 0 14 Jul 2022
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning T. Şahin R. Khalili Mate Boban A. Wolisz 24 3 0 13 Jul 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation Haoyu Wang Nan Wu Hang Yang Cong Hao Pan Li 42 30 0 13 Jul 2022
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management Julen Cestero M. Quartulli Alberto Maria Metelli Marcello Restelli OffRL 18 6 0 08 Jul 2022
Retro-RL: Reinforcing Nominal Controller With Deep Reinforcement Learning for Tilting-Rotor Drones Aswin Nahrendra Christian Tirtawardhana Byeong-Uk Yu E. Lee Hyunsam Myung OffRL 24 8 0 07 Jul 2022
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations Jialu Li Hao Tan Joey Tianyi Zhou LM&Ro 69 12 0 05 Jul 2022
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning Paolo Maramotti Alessandro Paolo Capasso Giulio Bacchiani A. Broggi 38 10 0 05 Jul 2022
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework Shunyu Liu Kaixuan Chen Na Yu Mingli Song Zunlei Feng Mingli Song 52 1 0 05 Jul 2022
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States Francesco Faccio Aditya A. Ramesh Vincent Herrmann J. Harb Jürgen Schmidhuber OffRL 44 8 0 04 Jul 2022
q-Learning in Continuous Time Yanwei Jia X. Zhou OffRL 55 70 0 02 Jul 2022
Performative Reinforcement Learning Debmalya Mandal Stelios Triantafyllou Goran Radanović 36 18 0 30 Jun 2022
Short-Term Plasticity Neurons Learning to Learn and Forget Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis 23 13 0 28 Jun 2022
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach Syrine Belakaria J. Doppa Nicolò Fusi Rishit Sheth 33 7 0 25 Jun 2022
Incorporating Voice Instructions in Model-Based Reinforcement Learning for Self-Driving Cars Mingze Wang Ziyang Zhang Grace Hui Yang 29 1 0 21 Jun 2022
Fast Population-Based Reinforcement Learning on a Single Machine Arthur Flajolet Claire Bizon Monroc Karim Beguir Thomas Pierrot OffRL 35 10 0 17 Jun 2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing Yuke Wang Boyuan Feng Ziyi Wang Tong Geng Ang Li Yufei Ding AI4CE 49 0 0 16 Jun 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses Eliza Kosoy David M. Chan Adrian Liu Jasmine Collins Bryanna Kaufmann Sandy Han Huang Jessica B. Hamrick John F. Canny Nan Rosemary Ke Alison Gopnik CML AI4CE 33 18 0 16 Jun 2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents Amirhossein Zolfagharian Manel Abdellatif Lionel C. Briand M. Bagherzadeh Ramesh S 50 27 0 15 Jun 2022
Zero-shot object goal visual navigation Qianfan Zhao Lu Zhang Bin He Hong Qiao Zhi-yong Liu 36 37 0 15 Jun 2022
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS Eleni Nisioti Matéo Mahaut Pierre-Yves Oudeyer Ida Momennejad Clément Moulin-Frier 27 9 0 10 Jun 2022
Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk Chengyang Ying Xinning Zhou Hang Su Dong Yan Ning Chen Jun Zhu 24 41 0 09 Jun 2022
FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning Wenji Liu Kai-Yi Bai Xuming He Shuran Song Changxi Zheng Xiaopei Liu AI4CE 35 12 0 03 Jun 2022
Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration Thomas D. Barrett Christopher W. F. Parsonson Alexandre Laterre 39 10 0 27 May 2022
Guided Exploration of Data Summaries Brit Youngmann S. Amer-Yahia Aurélien Personnaz 24 16 0 27 May 2022
Non-Markovian policies occupancy measures Romain Laroche Rémi Tachet des Combes Jacob Buckman OffRL 39 1 0 27 May 2022
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis Yushi Cao Zhiming Li Tianpei Yang Hao Zhang Yan Zheng Yi Li Jianye Hao Yang Liu NAI 38 16 0 27 May 2022
Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini Daniele Zambon Cesare Alippi CML AI4TS 48 18 0 26 May 2022
Constrained Reinforcement Learning for Short Video Recommendation Qingpeng Cai Ruohan Zhan Chi Zhang Jie Zheng Guangwei Ding Pinghua Gong Dong Zheng Peng Jiang 33 6 0 26 May 2022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning Xinran Liang Katherine Shu Kimin Lee Pieter Abbeel 23 58 0 24 May 2022