v1v2 (latest)

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 / 3,591 papers shown

Title
Flexible Option Learning Martin Klissarov Doina Precup OffRL 77 26 0 06 Dec 2021
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation Shiqi Lin Zhizheng Zhang Xin Li Wenjun Zeng Zhibo Chen 136 9 0 06 Dec 2021
MDPFuzz: Testing Models Solving Markov Decision Processes Qi Pang Yuanyuan Yuan Shuai Wang 100 30 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 120 58 0 05 Dec 2021
Deep Policy Iteration with Integer Programming for Inventory Management Pavithra Harsha A. Jagmohan Jayant Kalagnanam Brian Quanz Divya Singhvi 52 1 0 04 Dec 2021
Coupling Vision and Proprioception for Navigation of Legged Robots Zipeng Fu Ashish Kumar Ananye Agarwal Haozhi Qi Jitendra Malik Deepak Pathak 74 78 0 03 Dec 2021
Episodic Policy Gradient Training Hung Le Majid Abdolshah Thommen George Karimpanal Kien Do D. Nguyen Svetha Venkatesh BDL OffRL 68 6 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 74 18 0 03 Dec 2021
Towards Interactive Reinforcement Learning with Intrinsic Feedback Ben Poole Minwoo Lee OffRL 83 1 0 02 Dec 2021
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation Yeonsung Jung Hajin Shim J. Yang Eunho Yang 87 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 131 64 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 68 35 0 30 Nov 2021
Agent-Centric Relation Graph for Object Visual Navigation X. Hu Youfang Lin Shuo Wang Zhihao Wu Kai Lv 99 20 0 29 Nov 2021
Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method Wenda Qin Teruhisa Misu Derry Wijaya UQCV LM&Ro 83 5 0 28 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 42 17 0 26 Nov 2021
Reinforcement Explanation Learning Siddhant Agarwal Owais Iqbal Sree Aditya Buridi Madda Manjusha Abir Das FAtt 33 0 0 26 Nov 2021
Learning State Representations via Retracing in Reinforcement Learning Changmin Yu Dong Li Jianye Hao Jun Wang Neil Burgess 84 8 0 24 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 99 434 0 24 Nov 2021
Integrating Imitation Learning with Human Driving Data into Reinforcement Learning to Improve Training Efficiency for Autonomous Driving Heidi Lu 13 1 0 23 Nov 2021
Policy Gradient and Actor-Critic Learning in Continuous Time and Space: Theory and Algorithms Yanwei Jia X. Zhou OffRL 123 85 0 22 Nov 2021
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval Dingrong Wang Hitesh Sapkota Xumin Liu Qi Yu 87 5 0 21 Nov 2021
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving Raphael Chekroun Marin Toromanoff Sascha Hornauer Fabien Moutarde 92 61 0 16 Nov 2021
Physics-informed neural networks via stochastic Hamiltonian dynamics learning Minh Nguyen Chandrajit Bajaj 40 1 0 15 Nov 2021
VisualEnv: visual Gym environments with Blender A. Scorsoglio R. Furfaro AI4CE 50 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 95 5 0 15 Nov 2021
Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning Robin Schiewer Laurenz Wiskott 19 3 0 15 Nov 2021
AI in Human-computer Gaming: Techniques, Challenges and Opportunities Qiyue Yin Jun Yang Kaiqi Huang Meijing Zhao Wancheng Ni Bin Liang Yan Huang Shu Wu Liangsheng Wang 61 21 0 15 Nov 2021
Reinforcement Learning of Self Enhancing Camera Image and Signal Processing Minh Nguyen Yi Wang Yunhao Yang 36 2 0 15 Nov 2021
Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach Francisco Caio Lima Paiva L. Felizardo Reinaldo A. C. Bianchi Anna Helena Reali Costa AIFin 26 7 0 14 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 60 24 0 13 Nov 2021
Improving Experience Replay through Modeling of Similar Transitions' Sets Daniel Eugênio Neves João Pedro Oliveira Batisteli Eduardo Felipe Lopes Lucila Ishitani Zenilton K. G. Patrocínio OffRL 31 1 0 12 Nov 2021
Collaboration Promotes Group Resilience in Multi-Agent AI Sarah Keren M. Gerstgrasser Ofir Abu J. Rosenschein 42 0 0 12 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 99 85 0 11 Nov 2021
CubeTR: Learning to Solve The Rubiks Cube Using Transformers Mustafa Chasmai ViT 65 1 0 11 Nov 2021
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation Chuang Lin Yi Jiang Jianfei Cai Zhuang Li Gholamreza Haffari Zehuan Yuan 86 32 0 10 Nov 2021
Spatially and Seamlessly Hierarchical Reinforcement Learning for State Space and Policy space in Autonomous Driving Jaehyung Kim Jaeseung Jeong 25 0 0 10 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 197 61 0 09 Nov 2021
Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach Mao Guan Xiao-Yang Liu AIFin AI4TS 51 21 0 07 Nov 2021
FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance Xiao-Yang Liu Hongyang Yang Jiechao Gao Chris Wang AIFin OffRL 121 99 0 07 Nov 2021
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods Seohong Park Jaekyeom Kim Gunhee Kim 63 24 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 88 43 0 04 Nov 2021
B-Pref: Benchmarking Preference-Based Reinforcement Learning Kimin Lee Laura M. Smith Anca Dragan Pieter Abbeel OffRL 123 101 0 04 Nov 2021
Towards an Understanding of Default Policies in Multitask Policy Optimization Theodore H. Moskovitz Michael Arbel Jack Parker-Holder Aldo Pacchiano 70 10 0 04 Nov 2021
Attacking Deep Reinforcement Learning-Based Traffic Signal Control Systems with Colluding Vehicles Ao Qu Yihong Tang Wei-Ying Ma 45 10 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 112 12 0 04 Nov 2021
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution Irving G. B. Petrazzini Eric A. Antonelo OffRL 59 12 0 03 Nov 2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls Hung Le Thommen George Karimpanal Majid Abdolshah T. Tran Svetha Venkatesh 72 19 0 03 Nov 2021
Learning to Explore by Reinforcement over High-Level Options Juncheng Liu B. McCane S. Mills EgoV 29 1 0 02 Nov 2021
Human-Level Control without Server-Grade Hardware Brett Daley Chris Amato BDL OffRL 36 0 0 01 Nov 2021
Adjacency constraint for efficient hierarchical reinforcement learning Tianren Zhang Shangqi Guo Tian Tan Xiao M Hu Feng Chen 100 17 0 30 Oct 2021