Continuous control with deep reinforcement learning

9 September 2015

Alexander Pritzel

David Silver

Papers citing "Continuous control with deep reinforcement learning"

50 / 3,243 papers shown

Title
Reinforcement and Imitation Learning for Diverse Visuomotor Skills Yuke Zhu Ziyun Wang J. Merel Andrei A. Rusu Tom Erez ... S. Tunyasuvunakool János Kramár R. Hadsell Nando de Freitas N. Heess SSL 34 316 0 26 Feb 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research Matthias Plappert Marcin Andrychowicz Alex Ray Bob McGrew Bowen Baker ... Joshua Tobin Maciek Chociej Peter Welinder Vikash Kumar Wojciech Zaremba 33 557 0 26 Feb 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 66 238 0 25 Feb 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents Kaipeng Zhang Zhuoran Yang Han Liu Tong Zhang Tamer Basar 43 582 0 23 Feb 2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization Shromona Ghosh Felix Berkenkamp G. Ranade S. Qadeer Ashish Kapoor AAML 33 45 0 23 Feb 2018
Structured Control Nets for Deep Reinforcement Learning Mario Srouji Jian Zhang Ruslan Salakhutdinov 33 43 0 22 Feb 2018
Continual Reinforcement Learning with Complex Synapses Christos Kaplanis Murray Shanahan Claudia Clopath KELM 18 87 0 20 Feb 2018
Fourier Policy Gradients M. Fellows K. Ciosek Shimon Whiteson 35 15 0 19 Feb 2018
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning Qingkai Liang Fanyu Que E. Modiano 15 101 0 19 Feb 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 49 227 0 13 Feb 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 30 319 0 12 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han 35 1,343 0 10 Feb 2018
Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis Brenden K. Petersen Jiachen Yang Will Grathwohl Chase Cockrell Claudio Santiago G. An Daniel Faissol AI4CE 15 26 0 08 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 45 1,577 0 05 Feb 2018
Learning Parametric Closed-Loop Policies for Markov Potential Games Sergio Valcarcel Macua Javier Zazo S. Zazo 23 46 0 03 Feb 2018
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control Jingwei Zhang L. Tai Peng Yun Yufeng Xiong Ming Liu Joschka Boedecker Wolfram Burgard 21 122 0 01 Feb 2018
Pretraining Deep Actor-Critic Reinforcement Learning Algorithms With Expert Demonstrations Xiaoqin Zhang Huimin Ma OffRL 35 38 0 31 Jan 2018
Deep Reinforcement Learning using Capsules in Advanced Game Environments Per-Arne Andersen 18 16 0 29 Jan 2018
Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data Y. Liu Ning Liu B. Logan Zhiyuan Xu Jian Tang Yanzhi Wang OffRL OOD 30 101 0 28 Jan 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 19 432 0 26 Jan 2018
Experience-driven Networking: A Deep Reinforcement Learning based Approach Zhiyuan Xu Jian Tang Jingsong Meng Weiyi Zhang Yanzhi Wang C. Liu Dejun Yang OffRL 29 359 0 17 Jan 2018
An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients Jiaming Song Yuhuai Wu 27 2 0 17 Jan 2018
Deep Reinforcement Learning of Cell Movement in the Early Stage of C. elegans Embryogenesis Zehao Wang Dali Wang Chengcheng Li Yichi Xu Husheng Li Z. Bao 32 35 0 14 Jan 2018
Cooperative Multi-Agent Reinforcement Learning for Low-Level Wireless Communication Colin de Vrieze Shane T. Barratt Daniel Tsai A. Sahai 39 28 0 14 Jan 2018
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 50 51 0 10 Jan 2018
DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation Lex Fridman Jack Terwilliger Benedikt Jenik 32 24 0 09 Jan 2018
Building Generalizable Agents with a Realistic and Rich 3D Environment Yi Wu Yuxin Wu Georgia Gkioxari Yuandong Tian 3DV 62 338 0 07 Jan 2018
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 50 1,105 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 34 25 0 29 Dec 2017
Improved Inception-Residual Convolutional Neural Network for Object Recognition Md. Zahangir Alom Mahmudul Hasan C. Yakopcic T. Taha V. Asari 46 116 0 28 Dec 2017
Learning to Run with Actor-Critic Ensemble Zhewei Huang Shuchang Zhou BoEr Zhuang Xinyu Zhou OffRL 22 24 0 25 Dec 2017
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator Stephen Tu Benjamin Recht OffRL 32 130 0 22 Dec 2017
Learning in the Machine: the Symmetries of the Deep Learning Channel Pierre Baldi Peter Sadowski Zhiqin Lu 21 30 0 22 Dec 2017
Note on Attacking Object Detectors with Adversarial Stickers Kevin Eykholt Ivan Evtimov Earlence Fernandes Bo-wen Li D. Song Tadayoshi Kohno Amir Rahmati A. Prakash Florian Tramèr AAML 24 36 0 21 Dec 2017
Deep Reinforcement Learning Boosted by External Knowledge Nicolas Bougie R. Ichise OffRL 25 15 0 12 Dec 2017
Sim-to-Real Transfer of Accurate Grasping with Eye-In-Hand Observations and Continuous Control Mengyuan Yan I. Frosio Stephen Tyree Jan Kautz 33 38 0 08 Dec 2017
A Novel Model for Arbitration between Planning and Habitual Control Systems F. S. Fard Thomas Trappenberg 21 7 0 06 Dec 2017
Learning Multi-Level Hierarchies with Hindsight Andrew Levy George Konidaris Robert W. Platt Kate Saenko 35 79 0 04 Dec 2017
Variational Deep Q Network Yunhao Tang A. Kucukelbir BDL 38 10 0 30 Nov 2017
Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control Shangtong Zhang Osmar R. Zaiane 29 10 0 30 Nov 2017
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 22 260 0 24 Nov 2017
Depth Control of Model-Free AUVs via Reinforcement Learning Hui Wu Shiji Song Keyou You Cheng Wu 16 109 0 22 Nov 2017
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Benjamin Eysenbach S. Gu Julian Ibarz Sergey Levine CLL 37 139 0 18 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 41 641 0 10 Nov 2017
Learning Deep Mean Field Games for Modeling Large Population Behavior Jiachen Yang X. Ye Rakshit S. Trivedi Huan Xu H. Zha AI4CE 30 33 0 08 Nov 2017
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning Sergio Valcarcel Macua Aleksi Tukiainen D. Hernández David Baldazo Enrique Munoz de Cote S. Zazo 32 29 0 28 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel 67 1,345 0 18 Oct 2017
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data Alina Kloss S. Schaal Jeannette Bohg 40 85 0 11 Oct 2017
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning Aleksandra Faust Oscar Ramirez Marek Fiser Kenneth Oslund Anthony G. Francis James Davidson Lydia Tapia 33 290 0 11 Oct 2017
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation G. Kahn Adam R. Villaflor Bosen Ding Pieter Abbeel Sergey Levine SSL 34 287 0 29 Sep 2017