Continuous control with deep reinforcement learning

9 September 2015

Alexander Pritzel

David Silver

Papers citing "Continuous control with deep reinforcement learning"

50 / 3,200 papers shown

Title
Learning Control for Air Hockey Striking using Deep Reinforcement Learning Ayal Taitler N. Shimkin 15 10 0 26 Feb 2017
Learning to Multi-Task by Active Sampling Sahil Sharma Ashutosh Jha Parikshit Hegde Balaraman Ravindran 15 21 0 20 Feb 2017
Trainable Greedy Decoding for Neural Machine Translation Jiatao Gu Kyunghyun Cho V. Li 24 73 0 08 Feb 2017
Uncertainty-Aware Reinforcement Learning for Collision Avoidance G. Kahn Adam R. Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine 32 312 0 03 Feb 2017
Deep Reinforcement Learning for Robotic Manipulation-The state of the art S. Amarjyoti 23 65 0 31 Jan 2017
Learning Light Transport the Reinforced Way Ken Dahm A. Keller 16 62 0 25 Jan 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 23 289 0 28 Dec 2016
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments Jingwei Zhang Jost Tobias Springenberg Joschka Boedecker Wolfram Burgard 19 294 0 16 Dec 2016
Cryptocurrency Portfolio Management with Deep Reinforcement Learning Zhengyao Jiang Jinjun Liang AIFin 18 206 0 05 Dec 2016
Combining Deep Reinforcement Learning and Safety Based Control for Autonomous Driving Xincheng Xiong Jianqiang Wang Fang Zhang Keqiang Li 26 66 0 01 Dec 2016
Nonparametric General Reinforcement Learning Jan Leike OffRL 39 26 0 28 Nov 2016
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 60 760 0 15 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 35 1,007 0 09 Nov 2016
Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic S. Gu Timothy Lillicrap Zoubin Ghahramani Richard Turner Sergey Levine OffRL BDL 30 343 0 07 Nov 2016
Learning to Act by Predicting the Future Alexey Dosovitskiy V. Koltun 29 280 0 06 Nov 2016
Combining policy gradient and Q-learning Brendan O'Donoghue Rémi Munos Koray Kavukcuoglu Volodymyr Mnih OffRL OnRL 30 139 0 05 Nov 2016
Deep Learning Approximation for Stochastic Control Problems Jiequn Han E. Weinan BDL 24 191 0 02 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 27 11 0 01 Nov 2016
Learning and Transfer of Modulated Locomotor Controllers N. Heess Greg Wayne Yuval Tassa Timothy Lillicrap Martin Riedmiller David Silver 35 207 0 17 Oct 2016
Sim-to-Real Robot Learning from Pixels with Progressive Nets Andrei A. Rusu Matej Vecerík Thomas Rothörl N. Heess Razvan Pascanu R. Hadsell 34 532 0 13 Oct 2016
Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots L. Tai Ming Liu 13 103 0 06 Oct 2016
Deep Visual Foresight for Planning Robot Motion Chelsea Finn Sergey Levine 37 777 0 03 Oct 2016
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search Ali Yahya A. Li Mrinal Kalakrishnan Yevgen Chebotar Sergey Levine OffRL 18 155 0 03 Oct 2016
Path Integral Guided Policy Search Yevgen Chebotar Mrinal Kalakrishnan Ali Yahya A. Li S. Schaal Sergey Levine 21 149 0 03 Oct 2016
Deep Reinforcement Learning for Tensegrity Robot Locomotion Marvin Zhang Xinyang Geng J. Bruce Ken Caluwaerts Massimo Vespignani Vytas SunSpiral Pieter Abbeel Sergey Levine 17 92 0 28 Sep 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 603 0 22 Sep 2016
3D Simulation for Robot Arm Control with Deep Q-Learning Stephen James Edward Johns 19 108 0 13 Sep 2016
Partially Observable Markov Decision Process for Recommender Systems Zhongqi Lu Qiang Yang 22 27 0 28 Aug 2016
An Actor-Critic Algorithm for Sequence Prediction Dzmitry Bahdanau Philemon Brakel Kelvin Xu Anirudh Goyal Ryan J. Lowe Joelle Pineau Aaron Courville Yoshua Bengio 57 635 0 24 Jul 2016
Actor-critic versus direct policy search: a comparison based on sample complexity Arnaud de Froissard de Broissia Olivier Sigaud 26 12 0 29 Jun 2016
Learning to Poke by Poking: Experiential Learning of Intuitive Physics Pulkit Agrawal Ashvin Nair Pieter Abbeel Jitendra Malik Sergey Levine SSL 10 563 0 23 Jun 2016
Successor Features for Transfer in Reinforcement Learning André Barreto Will Dabney Rémi Munos Jonathan J. Hunt Tom Schaul H. V. Hasselt David Silver 16 563 0 16 Jun 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 18 1,685 0 22 Apr 2016
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection Sergey Levine P. Pastor A. Krizhevsky Deirdre Quillen 41 2,062 0 07 Mar 2016
Learning Physical Intuition of Block Towers by Example Adam Lerer Sam Gross Rob Fergus PINN 30 298 0 03 Mar 2016
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games Johannes Heinrich David Silver SSL 13 397 0 03 Mar 2016
PLATO: Policy Learning using Adaptive Trajectory Optimization G. Kahn Tianhao Zhang Sergey Levine Pieter Abbeel 29 136 0 02 Mar 2016
Towards Neural Knowledge DNA Haoxi Zhang C. Sanín E. Szczerbicki 13 16 0 27 Feb 2016
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics Felix Berkenkamp Andreas Krause Angela P. Schoellig 37 275 0 14 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 13 8,765 0 04 Feb 2016
Deep Reinforcement Learning in Large Discrete Action Spaces Gabriel Dulac-Arnold Richard Evans H. V. Hasselt P. Sunehag Timothy Lillicrap Jonathan J. Hunt Timothy A. Mann T. Weber T. Degris Ben Coppin OffRL 20 569 0 24 Dec 2015
Memory-based control with recurrent neural networks N. Heess Jonathan J. Hunt Timothy Lillicrap David Silver 29 301 0 14 Dec 2015
Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions P. Sunehag Richard Evans Gabriel Dulac-Arnold Yori Zwols D. Visentin Ben Coppin 25 43 0 03 Dec 2015
Learning Visual Predictive Models of Physics for Playing Billiards Katerina Fragkiadaki Pulkit Agrawal Sergey Levine Jitendra Malik 11 260 0 23 Nov 2015
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints Eric Tzeng Coline Devin Judy Hoffman Chelsea Finn Pieter Abbeel Sergey Levine Kate Saenko Trevor Darrell OOD 24 138 0 23 Nov 2015
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning Emilio Parisotto Jimmy Lei Ba Ruslan Salakhutdinov OffRL 28 590 0 19 Nov 2015
Deep Reinforcement Learning with a Natural Language Action Space Ji He Jianshu Chen Xiaodong He Jianfeng Gao Lihong Li Li Deng Mari Ostendorf 47 244 0 14 Nov 2015
Learning Continuous Control Policies by Stochastic Value Gradients N. Heess Greg Wayne David Silver Timothy Lillicrap Yuval Tassa Tom Erez 21 557 0 30 Oct 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 13 3,322 0 08 Jun 2015