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
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 56 18 0 23 May 2022
The Sufficiency of Off-Policyness and Soft Clipping: PPO is still Insufficient according to an Off-Policy Measure Xing Chen Dongcui Diao Hechang Chen Hengshuai Yao Haiyin Piao Zhixiao Sun Zhiwei Yang Randy Goebel Bei Jiang Yi-Ju Chang OffRL 43 8 0 20 May 2022
Towards biologically plausible Dreaming and Planning in recurrent spiking networks C. Capone P. Paolucci CLL 31 7 0 20 May 2022
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search Tianlin Li Zhe Chen Bo Jiang Jin Tang Bin Luo Dacheng Tao 50 18 0 19 May 2022
A2C is a special case of PPO Shengyi Huang Anssi Kanervisto Antonin Raffin Weixun Wang Santiago Ontañón Rousslan Fernand Julien Dossa OffRL 39 25 0 18 May 2022
Generating Explanations from Deep Reinforcement Learning Using Episodic Memory Sam Blakeman D. Mareschal 32 3 0 18 May 2022
GraphMapper: Efficient Visual Navigation by Scene Graph Generation Zachary Seymour Niluthpol Chowdhury Mithun Han-Pang Chiu S. Samarasekera Rakesh Kumar 30 8 0 17 May 2022
Qualitative Differences Between Evolutionary Strategies and Reinforcement Learning Methods for Control of Autonomous Agents Nicola Milano S. Nolfi 28 0 0 16 May 2022
Bridging Sim2Real Gap Using Image Gradients for the Task of End-to-End Autonomous Driving U. R. Nair Sarthak Sharma Udit Singh Parihar M. S. Menon Srikanth Vidapanakal 26 3 0 16 May 2022
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments Ryan Sullivan J. K. Terry Benjamin Black John P. Dickerson 30 8 0 14 May 2022
Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II Nicholas R. Waytowich James Z. Hare Vinicius G. Goecks Mark R. Mittrick John Richardson Anjon Basak Derrik E. Asher 43 2 0 11 May 2022
Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning Shuhan Qi Shuhao Zhang Xiaohan Hou Jia-jia Zhang Xinyu Wang Jing Xiao 24 0 0 11 May 2022
Learning A Simulation-based Visual Policy for Real-world Peg In Unseen Holes Liangru Xie Hongxiang Yu Kechun Xu Tong Yang Minhang Wang Haojian Lu R. Xiong Yue Wang 36 0 0 09 May 2022
Generative Evolutionary Strategy For Black-Box Optimizations C. Park 16 0 0 06 May 2022
Learning to Solve Vehicle Routing Problems: A Survey Aigerim Bogyrbayeva Meraryslan Meraliyev Taukekhan Mustakhov Bissenbay Dauletbayev 31 24 0 05 May 2022
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021 Julia Kiseleva Ziming Li Mohammad Aliannejadi Shrestha Mohanty Maartje ter Hoeve ... I. Churin Putra Manggala Kata Naszádi Michiel van der Meer Taewoon Kim LLMAG 33 30 0 05 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning Chenyu Sun Hangwei Qian Chunyan Miao OffRL 34 12 0 02 May 2022
Rate-Constrained Remote Contextual Bandits Francesco Pase Deniz Gündüz M. Zorzi 39 8 0 26 Apr 2022
A Survey of Traversability Estimation for Mobile Robots Christos Sevastopoulos S. Konstantopoulos 51 34 0 22 Apr 2022
Learning to Constrain Policy Optimization with Virtual Trust Region Hung Le Thommen Karimpanal George Majid Abdolshah D. Nguyen Kien Do Sunil R. Gupta Svetha Venkatesh 36 3 0 20 Apr 2022
Network Topology Optimization via Deep Reinforcement Learning Zhuoran Li Xing Wang L. Pan Lin Zhu Zhendong Wang Junlan Feng Chao Deng Longbo Huang 26 13 0 19 Apr 2022
Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on Unseen Shapes in Real World Liang Xie Hongxiang Yu Yinghao Zhao Haodong Zhang Zhongxiang Zhou Minhang Wang Yue Wang R. Xiong 22 9 0 16 Apr 2022
Reinforcement Learning Policy Recommendation for Interbank Network Stability Alessio Brini G. Tedeschi Daniele Tantari 21 2 0 14 Apr 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 49 45 0 13 Apr 2022
Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem Anikó Kopacz Ágnes Mester Sándor Kolumbán Lehel Csató 15 0 0 06 Apr 2022
Simple and Effective Synthesis of Indoor 3D Scenes Jing Yu Koh Harsh Agrawal Dhruv Batra Richard Tucker Austin Waters Honglak Lee Yinfei Yang Jason Baldridge Peter Anderson VGen 3DV 34 30 0 06 Apr 2022
Federated Reinforcement Learning with Environment Heterogeneity Hao Jin Yang Peng Wenhao Yang Shusen Wang Zhihua Zhang 65 68 0 06 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 31 6 0 04 Apr 2022
Autonomous Highway Merging in Mixed Traffic Using Reinforcement Learning and Motion Predictive Safety Controller Qianqian Liu Fengying Dang Xiaofan Wang Xiaoqiang Ren 30 13 0 03 Apr 2022
Hysteresis-Based RL: Robustifying Reinforcement Learning-based Control Policies via Hybrid Control Jan de Priester R. Sanfelice N. van de Wouw 27 2 0 01 Apr 2022
MOF: A Modular Framework for Rapid Application of Optimization Methodologies to General Engineering Design Problems B. Andersen G. Delipei D. Kropaczek J. Hou 6 5 0 01 Apr 2022
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers Anand Gopalakrishnan Kazuki Irie Jürgen Schmidhuber Sjoerd van Steenkiste OffRL 26 16 0 25 Mar 2022
Reinforcement learning for automatic quadrilateral mesh generation: a soft actor-critic approach J. Pan Jingwei Huang G. Cheng Yong Zeng AI4CE 24 40 0 19 Mar 2022
Learning for Robot Decision Making under Distribution Shift: A Survey Abhishek Paudel OOD OffRL 46 5 0 14 Mar 2022
The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications Tim Tsz-Kit Lau B. Sengupta 25 4 0 14 Mar 2022
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods Wei Li Wenhao Wu Moye Chen Jiachen Liu Xinyan Xiao Hua Wu HILM 31 27 0 10 Mar 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 41 226 0 09 Mar 2022
Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems Quentin Le Lidec Fabian Schramm Louis Montaut Cordelia Schmid Ivan Laptev Justin Carpentier 38 24 0 08 Mar 2022
Online Learning of Reusable Abstract Models for Object Goal Navigation Tommaso Campari Leonardo Lamanna P. Traverso Luciano Serafini Lamberto Ballan EgoV 15 19 0 04 Mar 2022
GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning Tianhao Wu Fangwei Zhong Yiran Geng Hongchen Wang Yongjian Zhu Yizhou Wang Hao Dong 27 8 0 04 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 46 11 0 01 Mar 2022
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 34 9 0 28 Feb 2022
Avalanche RL: a Continual Reinforcement Learning Library Nicolo Lucchesi Antonio Carta Vincenzo Lomonaco Davide Bacciu 42 6 0 28 Feb 2022
Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes Yassine Yaakoubi R. Dimitrakopoulos 35 10 0 25 Feb 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 22 9 0 24 Feb 2022
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models Spyridon Mouselinos Henryk Michalewski Mateusz Malinowski 26 3 0 24 Feb 2022
Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation Shizhe Chen Pierre-Louis Guhur Makarand Tapaswi Cordelia Schmid Ivan Laptev LM&Ro 36 139 0 23 Feb 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics Honghu Xue Benedikt Hein M. Bakr Georg Schildbach Bengt Abel Elmar Rueckert 16 15 0 23 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 38 9 0 23 Feb 2022
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking Zeyu Fang Jian Zhao Mingyu Yang Wen-gang Zhou Zhenbo Lu Houqiang Li 28 10 0 22 Feb 2022