Asynchronous Methods for Deep Reinforcement Learning

4 February 2016

Volodymyr Mnih

Adria Puigdomenech Badia

David Silver

Papers citing "Asynchronous Methods for Deep Reinforcement Learning"

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Title
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft Vinicius G. Goecks Nicholas R. Waytowich David Watkins Bharat Prakash 18 7 0 07 Dec 2021
Flexible Option Learning Martin Klissarov Doina Precup OffRL 41 26 0 06 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 56 55 0 05 Dec 2021
Coupling Vision and Proprioception for Navigation of Legged Robots Zipeng Fu Ashish Kumar Ananye Agarwal Haozhi Qi Jitendra Malik Deepak Pathak 21 73 0 03 Dec 2021
Learning Emergent Random Access Protocol for LEO Satellite Networks Ju-Hyung Lee Hyowoon Seo Jihong Park M. Bennis Young-Chai Ko 30 17 0 03 Dec 2021
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation Yeonsung Jung Hajin Shim J. Yang Eunho Yang 34 8 0 02 Dec 2021
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation Ziyuan Zhong Yun Tang Yuan Zhou V. Neves Yang Liu Baishakhi Ray 50 60 0 02 Dec 2021
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning T. N. Larsen Amalie Heiberg Eivind Meyer Adil Rasheed Omer San Damiano Varagnolo 32 35 0 30 Nov 2021
Agent-Centric Relation Graph for Object Visual Navigation X. Hu Youfang Lin Shuo Wang Zhihao Wu Kai Lv 44 19 0 29 Nov 2021
A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator Malte Lehna Bjorn Hoppmann René Heinrich Christoph Scholz 29 16 0 26 Nov 2021
Learning State Representations via Retracing in Reinforcement Learning Changmin Yu Dong Li Jianye Hao Jun Wang Neil Burgess 35 7 0 24 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 48 417 0 24 Nov 2021
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 36 79 0 22 Nov 2021
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval Dingrong Wang Hitesh Sapkota Xumin Liu Qi Yu 43 4 0 21 Nov 2021
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving Raphael Chekroun Marin Toromanoff Sascha Hornauer Fabien Moutarde 41 60 0 16 Nov 2021
Physics-informed neural networks via stochastic Hamiltonian dynamics learning Minh Nguyen Chandrajit Bajaj 21 1 0 15 Nov 2021
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration Wenhao Li Qisen Xu Chuyun Shen Bin Hu Fengping Zhu Yuxin Li Bo Jin Xiangfeng Wang 35 5 0 15 Nov 2021
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning Jueming Hu Xuxi Yang Weichang Wang Peng Wei Lei Ying Yongming Liu 46 24 0 13 Nov 2021
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic Wei Zhou Dong Chen Jun Yan Zhaojian Li Huilin Yin Wancheng Ge 44 80 0 11 Nov 2021
CubeTR: Learning to Solve The Rubiks Cube Using Transformers Mustafa Chasmai ViT 37 1 0 11 Nov 2021
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale Yao Lu Karol Hausman Yevgen Chebotar Mengyuan Yan Eric Jang ... Ted Xiao A. Irpan Mohi Khansari Dmitry Kalashnikov Sergey Levine OffRL 97 59 0 09 Nov 2021
Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach Mao Guan Xiao-Yang Liu AIFin AI4TS 27 20 0 07 Nov 2021
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods Seohong Park Jaekyeom Kim Gunhee Kim 38 23 0 06 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 37 41 0 04 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 45 93 0 04 Nov 2021
Towards an Understanding of Default Policies in Multitask Policy Optimization Theodore H. Moskovitz Michael Arbel Jack Parker-Holder Aldo Pacchiano 30 9 0 04 Nov 2021
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch Shangtong Zhang Rémi Tachet des Combes Romain Laroche 35 10 0 04 Nov 2021
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution Irving G. B. Petrazzini Eric A. Antonelo OffRL 20 12 0 03 Nov 2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls Hung Le Thommen George Karimpanal Majid Abdolshah T. Tran Svetha Venkatesh 30 19 0 03 Nov 2021
Mastering Atari Games with Limited Data Weirui Ye Shao-Wei Liu Thanard Kurutach Pieter Abbeel Yang Gao VLM 59 226 0 30 Oct 2021
Adaptive Discretization in Online Reinforcement Learning Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 45 15 0 29 Oct 2021
Understanding the Effect of Stochasticity in Policy Optimization Jincheng Mei Bo Dai Chenjun Xiao Csaba Szepesvári Dale Schuurmans 24 17 0 29 Oct 2021
Learning to Ground Multi-Agent Communication with Autoencoders Toru Lin Minyoung Huh C. Stauffer Ser-Nam Lim Phillip Isola AI4CE 48 52 0 28 Oct 2021
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning Wanggang Shen Xun Huan 13 40 0 28 Oct 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection Matteo Papini Andrea Tirinzoni Aldo Pacchiano Marcello Restelli A. Lazaric Matteo Pirotta 21 18 0 27 Oct 2021
Distributed Multi-Agent Deep Reinforcement Learning Framework for Whole-building HVAC Control Vinay Hanumaiah Sahika Genc AI4CE 24 6 0 26 Oct 2021
EnTRPO: Trust Region Policy Optimization Method with Entropy Regularization Sahar Roostaie M. Ebadzadeh 16 3 0 26 Oct 2021
History Aware Multimodal Transformer for Vision-and-Language Navigation Shizhe Chen Pierre-Louis Guhur Cordelia Schmid Ivan Laptev LM&Ro 33 226 0 25 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning Kibeom Kim Min Whoo Lee Yoonsung Kim Je-hwan Ryu Minsu Lee Byoung-Tak Zhang 24 8 0 25 Oct 2021
A Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments Petros Giannakopoulos Aggelos Pikrakis Y. Cotronis 27 3 0 25 Oct 2021
An Economy of Neural Networks: Learning from Heterogeneous Experiences A. Kuriksha 27 7 0 22 Oct 2021
Statistical discrimination in learning agents Edgar A. Duénez-Guzmán Kevin R. McKee Yiran Mao Ben Coppin Silvia Chiappa ... Yoram Bachrach Suzanne Sadedin William S. Isaac K. Tuyls Joel Z. Leibo 47 7 0 21 Oct 2021
On games and simulators as a platform for development of artificial intelligence for command and control Vinicius G. Goecks Nicholas R. Waytowich Derrik E. Asher Song Jun Park Mark R. Mittrick ... Anne Logie Mark S. Dennison T. Trout Priya Narayanan Alexander Kott 41 26 0 21 Oct 2021
Neuro-Symbolic Reinforcement Learning with First-Order Logic Daiki Kimura Masaki Ono Subhajit Chaudhury Ryosuke Kohita Akifumi Wachi Don Joven Agravante Michiaki Tatsubori Asim Munawar Alexander G. Gray NAI 31 37 0 21 Oct 2021
Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning Wenzhuo Zhou Ruoqing Zhu Annie Qu 40 22 0 20 Oct 2021
Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm Raghuram Bharadwaj Diddigi Prateek Jain P. J S. Bhatnagar CML OffRL 19 3 0 19 Oct 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications Borja G. Leon Murray Shanahan Francesco Belardinelli AI4CE 31 15 0 18 Oct 2021
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind Yuan-Fang Wang Fangwei Zhong Jing Xu Yizhou Wang LLMAG 21 67 0 15 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 54 16 0 14 Oct 2021
NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment Julia Kiseleva Ziming Li Mohammad Aliannejadi Shrestha Mohanty Maartje ter Hoeve ... Arthur Szlam Yuxuan Sun Katja Hofmann Michel Galley Ahmed Hassan Awadallah LLMAG 70 15 0 13 Oct 2021