Continuous control with deep reinforcement learning

9 September 2015

Alexander Pritzel

David Silver

Papers citing "Continuous control with deep reinforcement learning"

50 / 3,248 papers shown

Title
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 38 54 0 03 Nov 2018
On the Convergence Rate of Training Recurrent Neural Networks Zeyuan Allen-Zhu Yuanzhi Li Zhao Song 32 191 0 29 Oct 2018
Stability-certified reinforcement learning: A control-theoretic perspective Ming Jin Javad Lavaei 33 85 0 26 Oct 2018
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions Lerrel Pinto Aditya Mandalika Brian Hou S. Srinivasa 33 13 0 24 Oct 2018
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks Michelle A. Lee Yuke Zhu K. Srinivasan Parth Shah Silvio Savarese Li Fei-Fei Animesh Garg Jeannette Bohg SSL 35 368 0 24 Oct 2018
Hierarchical Approaches for Reinforcement Learning in Parameterized Action Space E. Wei Drew Wicke S. Luke BDL 22 35 0 23 Oct 2018
Multi-Agent Actor-Critic with Generative Cooperative Policy Network Heechang Ryu Hayong Shin Jinkyoo Park 19 12 0 22 Oct 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 13 148 0 21 Oct 2018
Policy Gradient in Partially Observable Environments: Approximation and Convergence Kamyar Azizzadenesheli Manish Kumar Bera Anima Anandkumar OffRL 30 8 0 18 Oct 2018
Finding the best design parameters for optical nanostructures using reinforcement learning Iman Sajedian Trevon Badloe J. Rho 17 12 0 18 Oct 2018
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey Nguyen Cong Luong D. Hoang Shimin Gong Dusit Niyato Ping Wang Ying-Chang Liang Dong In Kim OffRL 57 1,424 0 18 Oct 2018
O2A: One-shot Observational learning with Action vectors Leo Pauly Wisdom C. Agboh David C. Hogg R. Fuentes 57 9 0 17 Oct 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer 33 39 0 15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 48 553 0 12 Oct 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space Jiechao Xiong Qing Wang Zhuoran Yang Peng Sun Lei Han Yang Zheng Haobo Fu Tong Zhang Ji Liu Han Liu 37 169 0 10 Oct 2018
Light-Weight RefineNet for Real-Time Semantic Segmentation Vladimir Nekrasov Chunhua Shen Ian Reid SSeg VLM 24 147 0 08 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks Fabio Pardo Vitaly Levdik Petar Kormushev 25 4 0 06 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 6 738 0 05 Oct 2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation Perttu Hämäläinen Amin Babadi Xiaoxiao Ma J. Lehtinen 32 62 0 05 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 20 638 0 03 Oct 2018
A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning Mel Vecerík Oleg O. Sushkov David Barker Thomas Rothörl Todd Hester Jonathan Scholz 19 110 0 02 Oct 2018
Energy-Based Hindsight Experience Prioritization Rui Zhao Volker Tresp 19 74 0 02 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine 30 206 0 02 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy search Aloïs Pourchot Olivier Sigaud 32 160 0 02 Oct 2018
SmartChoices: Hybridizing Programming and Machine Learning Victor Carbune Thierry Coppey A. Daryin Thomas Deselaers Nikhil Sarda J. Yagnik 24 2 0 01 Oct 2018
Learning Navigation Behaviors End-to-End with AutoRL H. Chiang Aleksandra Faust Marek Fiser Anthony G. Francis 16 234 0 26 Sep 2018
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning Izumi Karino Kazutoshi Tanaka Ryuma Niiyama Yasuo Kuniyoshi 19 3 0 18 Sep 2018
Curriculum goal masking for continuous deep reinforcement learning Manfred Eppe S. Magg S. Wermter 27 19 0 17 Sep 2018
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator Hai V. Nguyen Hung M. La M. Deans SSL OffRL 12 8 0 16 Sep 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization I. Clavera Jonas Rothfuss John Schulman Yasuhiro Fujita Tamim Asfour Pieter Abbeel 30 225 0 14 Sep 2018
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning Jiachen Yang A. Nakhaei David Isele K. Fujimura H. Zha 31 75 0 13 Sep 2018
Deep Reinforcement Learning for Event-Triggered Control Dominik Baumann Jia Jie Zhu Georg Martius Sebastian Trimpe BDL 22 60 0 13 Sep 2018
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation Weihao Yuan Kaiyu Hang Haoran Song Danica Kragic M. Y. Wang J. A. Stork 14 26 0 12 Sep 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 25 37 0 10 Sep 2018
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising Di Wu Cheng Chen Xun Yang Xiujun Chen Qing Tan Jian Xu Kun Gai OffRL 11 16 0 10 Sep 2018
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning Chuanyu Yang Taku Komura Zhibin Li 29 20 0 06 Sep 2018
A Robotic Auto-Focus System based on Deep Reinforcement Learning Xiaofan Yu Runze Yu Jingsong Yang Xiaohui Duan 21 9 0 05 Sep 2018
Importance mixing: Improving sample reuse in evolutionary policy search methods Aloïs Pourchot Nicolas Perrin Olivier Sigaud 15 14 0 17 Aug 2018
Policy Optimization as Wasserstein Gradient Flows Ruiyi Zhang Changyou Chen Chunyuan Li Lawrence Carin 14 66 0 09 Aug 2018
Learning Actionable Representations from Visual Observations Debidatta Dwibedi Jonathan Tompson Corey Lynch P. Sermanet SSL 22 80 0 02 Aug 2018
Multi-Agent Generative Adversarial Imitation Learning Jiaming Song Hongyu Ren Dorsa Sadigh Stefano Ermon GAN 27 216 0 26 Jul 2018
Multi-Agent Reinforcement Learning: A Report on Challenges and Approaches Sanyam Kapoor 27 31 0 25 Jul 2018
Deep Reinforcement Learning for Swarm Systems Maximilian Hüttenrauch Adrian Šošić Gerhard Neumann 16 196 0 17 Jul 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries Aaron J. Havens Zhanhong Jiang S. Sarkar AAML 16 43 0 16 Jul 2018
Bipedal Walking Robot using Deep Deterministic Policy Gradient Arun Kumar Navneet Paul S. Omkar 22 26 0 16 Jul 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 43 535 0 12 Jul 2018
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal Jake Bruce Niko Sünderhauf Piotr Wojciech Mirowski R. Hadsell Michael Milford 22 35 0 11 Jul 2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving Xiaodan Liang Tairui Wang Luona Yang Eric Xing 27 267 0 10 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure Hamed Hakkak OffRL AI4CE 15 1 0 08 Jul 2018
End-to-End Race Driving with Deep Reinforcement Learning M. Jaritz Raoul de Charette Marin Toromanoff E. Perot F. Nashashibi 8 167 0 06 Jul 2018