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
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 156 1,144 0 02 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 148 1,877 0 02 Jan 2018
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation Bo Dai Albert Eaton Shaw Lihong Li Lin Xiao Niao He Zhen Liu Jianshu Chen Le Song 96 25 0 29 Dec 2017
Boosting the Actor with Dual Critic Bo Dai Albert Eaton Shaw Niao He Lihong Li Le Song 73 46 0 29 Dec 2017
Active Robotic Mapping through Deep Reinforcement Learning Shane T. Barratt 38 6 0 28 Dec 2017
RLlib: Abstractions for Distributed Reinforcement Learning Eric Liang Richard Liaw Philipp Moritz Robert Nishihara Roy Fox Ken Goldberg Joseph E. Gonzalez Michael I. Jordan Ion Stoica OffRL AI4CE 107 175 0 26 Dec 2017
Interpretable Counting for Visual Question Answering Alexander R. Trott Caiming Xiong R. Socher 106 71 0 23 Dec 2017
A short variational proof of equivalence between policy gradients and soft Q learning Pierre Harvey Richemond B. Maginnis 54 5 0 22 Dec 2017
Learning in the Machine: the Symmetries of the Deep Learning Channel Pierre Baldi Peter Sadowski Zhiqin Lu 77 30 0 22 Dec 2017
Sim2Real View Invariant Visual Servoing by Recurrent Control Fereshteh Sadeghi Alexander Toshev Eric Jang Sergey Levine 66 99 0 20 Dec 2017
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning Tianmin Shu Caiming Xiong R. Socher OffRL 159 140 0 20 Dec 2017
On Wasserstein Reinforcement Learning and the Fokker-Planck equation Pierre Harvey Richemond B. Maginnis 75 24 0 19 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 159 1,629 0 19 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 152 697 0 18 Dec 2017
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents Edoardo Conti Vashisht Madhavan F. Such Joel Lehman Kenneth O. Stanley Jeff Clune 118 349 0 18 Dec 2017
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 166 1,270 0 16 Dec 2017
Multi-focus Attention Network for Efficient Deep Reinforcement Learning Jinyoung Choi Beom-Jin Lee Byoung-Tak Zhang 63 48 0 13 Dec 2017
Deep Reinforcement Learning Boosted by External Knowledge Nicolas Bougie R. Ichise OffRL 56 15 0 12 Dec 2017
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments Manolis Savva Angel X. Chang Alexey Dosovitskiy Thomas Funkhouser V. Koltun 114 247 0 11 Dec 2017
DeepConfig: Automating Data Center Network Topologies Management with Machine Learning Christopher Streiffer Huan Chen Theophilus A. Benson Asim Kadav 46 64 0 11 Dec 2017
Robust Deep Reinforcement Learning with Adversarial Attacks Anay Pattanaik Zhenyi Tang Shuijing Liu Gautham Bommannan Girish Chowdhary OOD 87 309 0 11 Dec 2017
IQA: Visual Question Answering in Interactive Environments Daniel Gordon Aniruddha Kembhavi Mohammad Rastegari Joseph Redmon Dieter Fox Ali Farhadi LM&Ro 140 391 0 09 Dec 2017
Nintendo Super Smash Bros. Melee: An "Untouchable" Agent Ben Parr D. Dilipkumar Yuan Liu 16 2 0 08 Dec 2017
Deep Primal-Dual Reinforcement Learning: Accelerating Actor-Critic using Bellman Duality W. Cho Mengdi Wang OffRL 42 14 0 07 Dec 2017
A Deeper Look at Experience Replay Shangtong Zhang R. Sutton OffRL VLM 118 276 0 04 Dec 2017
Learning to Compose Skills Himanshu Sahni Saurabh Kumar Farhan Tejani Charles Isbell CoGe 80 39 0 30 Nov 2017
Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control Shangtong Zhang Osmar R. Zaiane 66 11 0 30 Nov 2017
Improved Learning in Evolution Strategies via Sparser Inter-Agent Network Topologies D. Adjodah D. Calacci Yan Leng P. Krafft Esteban Moro Egido Alex Pentland 30 2 0 30 Nov 2017
Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing M. Plessen 38 13 0 29 Nov 2017
Crossmodal Attentive Skill Learner Shayegan Omidshafiei Dong-Ki Kim Jason Pazis Jonathan P. How 88 13 0 28 Nov 2017
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay Jake Bruce Niko Sünderhauf Piotr Wojciech Mirowski R. Hadsell Michael Milford 93 60 0 28 Nov 2017
AI Safety Gridworlds Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg 158 255 0 27 Nov 2017
Population Based Training of Neural Networks Max Jaderberg Valentin Dalibard Simon Osindero Wojciech M. Czarnecki Jeff Donahue ... Tim Green Iain Dunning Karen Simonyan Chrisantha Fernando Koray Kavukcuoglu 132 745 0 27 Nov 2017
Cascade Attribute Learning Network Zhuo Xu Haonan Chang Masayoshi Tomizuka 45 4 0 24 Nov 2017
Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces Daniel Levy Stefano Ermon 66 4 0 21 Nov 2017
Teaching a Machine to Read Maps with Deep Reinforcement Learning Gino Brunner Oliver Richter Yuyi Wang Roger Wattenhofer 3DV 83 52 0 20 Nov 2017
Classification with Costly Features using Deep Reinforcement Learning Jaromír Janisch Tomás Pevný Viliam Lisý OffRL 74 98 0 20 Nov 2017
Run, skeleton, run: skeletal model in a physics-based simulation Mikhail Pavlov Sergey Kolesnikov Sergey Plis AI4CE 78 14 0 18 Nov 2017
Scalable Recollections for Continual Lifelong Learning Matthew D Riemer Tim Klinger Djallel Bouneffouf M. Franceschini CLL 78 64 0 17 Nov 2017
Learning Image-Conditioned Dynamics Models for Control of Under-actuated Legged Millirobots Anusha Nagabandi Guangzhao Yang T. Asmar Ravi Pandya G. Kahn Sergey Levine R. Fearing AI4CE 63 22 0 14 Nov 2017
Prediction Under Uncertainty with Error-Encoding Networks Mikael Henaff Jiaqi Zhao Yann LeCun UQCV 97 25 0 14 Nov 2017
Applications of Deep Learning and Reinforcement Learning to Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain S. Vassanelli OffRL AI4CE 85 646 0 10 Nov 2017
CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy G. Ros Felipe Codevilla Antonio M. López V. Koltun VLM 229 5,248 0 10 Nov 2017
Reinforcement Learning of Speech Recognition System Based on Policy Gradient and Hypothesis Selection Taku Kato T. Shinozaki 62 22 0 10 Nov 2017
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? M. Raghu A. Irpan Jacob Andreas Robert D. Kleinberg Quoc V. Le Jon M. Kleinberg 107 28 0 07 Nov 2017
Policy Optimization by Genetic Distillation Tanmay Gangwani Jian-wei Peng 72 18 0 03 Nov 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 147 640 0 02 Nov 2017
Visualizing and Understanding Atari Agents S. Greydanus Anurag Koul Jonathan Dodge Alan Fern FAtt 135 348 0 31 Oct 2017
Regret Minimization for Partially Observable Deep Reinforcement Learning Peter H. Jin Kurt Keutzer Sergey Levine 86 51 0 31 Oct 2017
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning Gregory Farquhar Tim Rocktaschel Maximilian Igl Shimon Whiteson OffRL 106 71 0 31 Oct 2017