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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
The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors William H. Guss Cayden R. Codel Katja Hofmann Brandon Houghton Noburu Kuno ... Diego Perez Liebana Ruslan Salakhutdinov Nicholay Topin Manuela Veloso Phillip Wang OffRL 119 67 0 22 Apr 2019
Tripping through time: Efficient Localization of Activities in Videos Meera Hahn Asim Kadav James M. Rehg H. Graf 110 86 0 22 Apr 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 75 268 0 20 Apr 2019
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning Yuji Kanagawa Tomoyuki Kaneko 73 14 0 17 Apr 2019
Learning Probabilistic Multi-Modal Actor Models for Vision-Based Robotic Grasping Mengyuan Yan A. Li Mrinal Kalakrishnan P. Pastor 57 18 0 15 Apr 2019
A Short Survey On Memory Based Reinforcement Learning Dhruv Ramani OffRL 71 17 0 14 Apr 2019
Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments Kaleigh Clary Emma Tosch John Foley David D. Jensen 55 17 0 12 Apr 2019
Similarities between policy gradient methods (PGM) in Reinforcement learning (RL) and supervised learning (SL) Eric Benhamou OffRL 21 1 0 12 Apr 2019
Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT James Butterworth Rahul Savani K. Tuyls 29 4 0 12 Apr 2019
Effective Scheduling Function Design in SDN through Deep Reinforcement Learning Victoria Huang Gang Chen Q. Fu 26 6 0 12 Apr 2019
Knowledge Flow: Improve Upon Your Teachers Iou-Jen Liu Jian-wei Peng Alex Schwing 122 62 0 11 Apr 2019
Two Body Problem: Collaborative Visual Task Completion Unnat Jain Luca Weihs Eric Kolve Mohammad Rastegari Svetlana Lazebnik Ali Farhadi Alex Schwing Aniruddha Kembhavi 74 72 0 11 Apr 2019
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman Bilal Kartal Pablo Hernandez-Leal Chao Gao Matthew E. Taylor OffRL 97 7 0 10 Apr 2019
Actor-Critic Instance Segmentation Nikita Araslanov Constantin Rothkopf Stefan Roth EgoV ISeg 60 17 0 10 Apr 2019
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 95 265 0 09 Apr 2019
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions Tingfung Lau Nathan Ng J. Gingold N. Desai Julian McAuley Zachary Chase Lipton 49 10 0 09 Apr 2019
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout Hao Tan Licheng Yu Joey Tianyi Zhou SSL 91 322 0 08 Apr 2019
Only Relevant Information Matters: Filtering Out Noisy Samples to Boost RL Yannis Flet-Berliac Philippe Preux 47 2 0 08 Apr 2019
Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation Fengda Zhu Linchao Zhu Yi Yang 86 26 0 08 Apr 2019
Creating Pro-Level AI for a Real-Time Fighting Game Using Deep Reinforcement Learning In-Suk Oh Seungeun Rho Sangbin Moon Seongho Son Hyoil Lee Jinyun Chung 98 54 0 08 Apr 2019
Reinforced Imitation in Heterogeneous Action Space Konrad Zolna Negar Rostamzadeh Yoshua Bengio Sungjin Ahn Pedro H. O. Pinheiro 76 11 0 06 Apr 2019
Multi-Preference Actor Critic Ishan Durugkar Matthew J. Hausknecht Adith Swaminathan Patrick MacAlpine 39 1 0 05 Apr 2019
Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning G. V. D. L. Cruz Yunshu Du Matthew E. Taylor OffRL 41 4 0 03 Apr 2019
Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer E. Beeching Christian Wolf J. Dibangoye Olivier Simonin OffRL LRM 76 25 0 03 Apr 2019
Deep Policy Hashing Network with Listwise Supervision Shaoying Wang Hai-Cheng Lai Yifan Yang Jian Yin 53 3 0 03 Apr 2019
VRGym: A Virtual Testbed for Physical and Interactive AI Xu Xie Hangxin Liu Zhenliang Zhang Yuxing Qiu Feng Gao Siyuan Qi Yixin Zhu Song-Chun Zhu 58 27 0 02 Apr 2019
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents Christian Rupprecht Cyril Ibrahim C. Pal 96 32 0 02 Apr 2019
Multitask Soft Option Learning Maximilian Igl Andrew Gambardella Jinke He Nantas Nardelli N. Siddharth Wendelin Bohmer Shimon Whiteson 187 26 0 01 Apr 2019
Autonomous Highway Driving using Deep Reinforcement Learning S. Nageshrao H. E. Tseng Dimitar Filev 78 106 0 29 Mar 2019
Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent Jieneng Chen Jingye Chen Ruiming Zhang Xiaobin Hu 33 6 0 29 Mar 2019
Learning Good Representation via Continuous Attention Liang Zhao Wenyuan Xu 20 0 0 29 Mar 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning D. Korenkevych A. R. Mahmood Gautham Vasan James Bergstra 79 28 0 27 Mar 2019
Generalized Off-Policy Actor-Critic Shangtong Zhang Wendelin Bohmer Shimon Whiteson OffRL CML 151 43 0 27 Mar 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 103 29 0 25 Mar 2019
Winning Isn't Everything: Enhancing Game Development with Intelligent Agents Yunqi Zhao Igor Borovikov Fernando de Mesentier Silva Ahmad Beirami J. Rupert ... Mohsen Sardari Long Lin S. Narravula Navid Aghdaie Kazi A. Zaman 48 42 0 25 Mar 2019
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning Bharat Prakash Mark Horton Nicholas R. Waytowich W. Hairston Tim Oates T. Mohsenin 38 19 0 25 Mar 2019
Using RGB Image as Visual Input for Mapless Robot Navigation Liulong Ma Yanjie Liu Jiao Chen SSL 102 17 0 24 Mar 2019
Monte Carlo Neural Fictitious Self-Play: Approach to Approximate Nash equilibrium of Imperfect-Information Games Li Zhang Wei Wang Shijian Li Gang Pan 16 0 0 22 Mar 2019
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder Heecheol Kim Masanori Yamada Kosuke Miyoshi Hiroshi Yamakawa DRL 36 6 0 22 Mar 2019
Neural Speed Reading with Structural-Jump-LSTM Christian B. Hansen Casper Hansen Stephen Alstrup J. Simonsen Christina Lioma 79 36 0 20 Mar 2019
Learning Reciprocity in Complex Sequential Social Dilemmas Tom Eccles Edward Hughes János Kramár S. Wheelwright Joel Z Leibo 52 50 0 19 Mar 2019
Truly Proximal Policy Optimization Yuhui Wang Hao He Chao Wen Xiaoyang Tan 80 126 0 19 Mar 2019
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL Dhruva Tirumala Hyeonwoo Noh Alexandre Galashov Leonard Hasenclever Arun Ahuja Greg Wayne Razvan Pascanu Yee Whye Teh N. Heess OffRL 72 44 0 18 Mar 2019
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration Jingwei Zhang Niklas Wetzel Nicolai Dorka Joschka Boedecker Wolfram Burgard 67 26 0 18 Mar 2019
Adaptive Variance for Changing Sparse-Reward Environments Xingyu Lin Pengsheng Guo Carlos Florensa David Held 59 6 0 15 Mar 2019
ROS2Learn: a reinforcement learning framework for ROS 2 Y. Nuin N. G. Lopez Elias Barba Moral Lander Usategui San Juan A. Rueda Víctor Mayoral-Vilches R. Kojcev OffRL 36 9 0 14 Mar 2019
Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data Moonsu Han Minki Kang Hyunwoo Jung Sung Ju Hwang RALM 106 19 0 14 Mar 2019
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning Xiaofeng Gao Ran Gong Tianmin Shu Xu Xie Shu Wang Song-Chun Zhu 67 62 0 13 Mar 2019
CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning Ziyu Yao Jayavardhan Reddy Peddamail Huan Sun 73 102 0 13 Mar 2019
Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy Yunhao Tang Mingzhang Yin Mingyuan Zhou 21 0 0 13 Mar 2019