Continuous control with deep reinforcement learning

9 September 2015

Alexander Pritzel

David Silver

Papers citing "Continuous control with deep reinforcement learning"

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Title
Learning to Drive in a Day Alex Kendall Jeffrey Hawke David Janz Przemyslaw Mazur Daniele Reda John M. Allen Vinh-Dieu Lam Alex Bewley Amar Shah 42 643 0 01 Jul 2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards Rituraj Kaushik Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 31 19 0 25 Jun 2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation J. Matas Stephen James Andrew J. Davison AI4CE 29 357 0 20 Jun 2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning Tanmay Shankar Nicholas Rhinehart Katharina Muelling Kris Kitani 24 1 0 20 Jun 2018
A unified strategy for implementing curiosity and empowerment driven reinforcement learning Ildefons Magrans de Abril Ryota Kanai 33 18 0 18 Jun 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning Boris Ivanovic James Harrison Apoorva Sharma Mo Chen Marco Pavone OffRL 32 57 0 16 Jun 2018
Maximum a Posteriori Policy Optimisation A. Abdolmaleki Jost Tobias Springenberg Yuval Tassa Rémi Munos N. Heess Martin Riedmiller 48 471 0 14 Jun 2018
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network Wenjia Meng Qian Zheng L. Yang Pengfei Li Gang Pan 20 21 0 14 Jun 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 74 268 0 13 Jun 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan Amir-massoud Farahmand Martha White S. Nabi P. Grover D. Nikovski 51 18 0 13 Jun 2018
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles Vahid Behzadan Arslan Munir AAML 33 51 0 04 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 42 595 0 04 Jun 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 35 909 0 30 May 2018
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning Wen Sun J. Andrew Bagnell Byron Boots 28 93 0 29 May 2018
Fingerprint Policy Optimisation for Robust Reinforcement Learning Supratik Paul Michael A. Osborne Shimon Whiteson 32 18 0 27 May 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 29 65 0 25 May 2018
Object-Oriented Dynamics Predictor Guangxiang Zhu Zhiao Huang Chongjie Zhang AI4CE 24 36 0 25 May 2018
Intelligent Trainer for Model-Based Reinforcement Learning Yuanlong Li Linsen Dong Xin Zhou Yonggang Wen K. Guan OffRL 24 0 0 24 May 2018
Deep Reinforcement Learning of Marked Temporal Point Processes U. Upadhyay A. De Manuel Gomez Rodriguez BDL OffRL 28 111 0 23 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 68 797 0 21 May 2018
Hierarchical Reinforcement Learning with Hindsight Andrew Levy Robert W. Platt Kate Saenko 34 83 0 21 May 2018
Graph Signal Sampling via Reinforcement Learning Oleksii Abramenko A. Jung 24 5 0 15 May 2018
Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes T. P. Le Ngo Anh Vien Abu Layek TaeChoong Chung 25 51 0 11 May 2018
Policy Optimization with Second-Order Advantage Information Jiajin Li Baoxiang Wang 22 6 0 09 May 2018
Exploration by Distributional Reinforcement Learning Yunhao Tang Shipra Agrawal OOD 41 30 0 04 May 2018
Multiagent Soft Q-Learning E. Wei Drew Wicke David Freelan S. Luke 23 79 0 25 Apr 2018
Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems Alec Koppel Ekaterina V. Tolstaya Ethan Stump Alejandro Ribeiro 41 21 0 19 Apr 2018
Lipschitz Continuity in Model-based Reinforcement Learning Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 43 150 0 19 Apr 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
An Adaptive Clipping Approach for Proximal Policy Optimization Gang Chen Yiming Peng Mengjie Zhang 19 22 0 17 Apr 2018
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning K. Yu Chao Dong Liang Lin Chen Change Loy CLL OffRL 27 174 0 10 Apr 2018
Structured Evolution with Compact Architectures for Scalable Policy Optimization K. Choromanski Mark Rowland Vikas Sindhwani Richard Turner Adrian Weller 27 147 0 06 Apr 2018
Learning to Search via Retrospective Imitation Jialin Song Ravi Lanka Albert Zhao Aadyot Bhatnagar Yisong Yue M. Ono OffRL 16 31 0 03 Apr 2018
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning Kun Shao Yuanheng Zhu Dongbin Zhao 107 170 0 03 Apr 2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments L. Kidzinski Sharada Mohanty Carmichael F. Ong Zhewei Huang Shuchang Zhou ... Sean F. Carroll Jennifer Hicks Sergey Levine M. Salathé Scott L. Delp 40 88 0 02 Apr 2018
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning L. Kidzinski Sharada Mohanty Carmichael F. Ong Jennifer Hicks Sean F. Carroll Sergey Levine M. Salathé Scott L. Delp 34 60 0 31 Mar 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 23 36 0 20 Mar 2018
Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning Li He Liang Wang Kaipeng Liu Bo Wu Weinan Zhang 29 7 0 20 Mar 2018
Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 30 230 0 19 Mar 2018
Imitation Learning with Concurrent Actions in 3D Games Jack Harmer Linus Gisslén Jorge del Val Henrik Holst Joakim Bergdahl Tom Olsson K. Sjöö Magnus Nordin 11 45 0 14 Mar 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 16 72 0 13 Mar 2018
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning J. A. G. Higuera David Meger Gregory Dudek BDL 22 39 0 06 Mar 2018
Some Considerations on Learning to Explore via Meta-Reinforcement Learning Bradly C. Stadie Ge Yang Rein Houthooft Xi Chen Yan Duan Yuhuai Wu Pieter Abbeel Ilya Sutskever LRM 40 116 0 03 Mar 2018
Distributed Prioritized Experience Replay Dan Horgan John Quan David Budden Gabriel Barth-Maron Matteo Hessel H. V. Hasselt David Silver 113 731 0 02 Mar 2018
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application Yujing Hu Qing Da Anxiang Zeng Yang Yu Yinghui Xu 14 179 0 02 Mar 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 13 315 0 28 Feb 2018
Computational Theories of Curiosity-Driven Learning Pierre-Yves Oudeyer 32 64 0 28 Feb 2018
Selective Experience Replay for Lifelong Learning David Isele Akansel Cosgun CLL 43 449 0 28 Feb 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning George Tucker Surya Bhupatiraju S. Gu Richard Turner Zoubin Ghahramani Sergey Levine OffRL 30 126 0 27 Feb 2018
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising Junqi Jin Cheng-Ning Song Han Li Kun Gai Jun Wang Weinan Zhang 24 175 0 27 Feb 2018