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1512.04455
Cited By
Memory-based control with recurrent neural networks
14 December 2015
N. Heess
Jonathan J. Hunt
Timothy Lillicrap
David Silver
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Papers citing
"Memory-based control with recurrent neural networks"
29 / 129 papers shown
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L. Zintgraf
T. Le
Frank Wood
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Qingpeng Cai
Pingzhong Tang
Fuzhen Zhuang
Qing He
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Regret Minimization for Partially Observable Deep Reinforcement Learning
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Kurt Keutzer
Sergey Levine
131
53
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31 Oct 2017
Consequentialist conditional cooperation in social dilemmas with imperfect information
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Adam Lerer
178
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Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
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Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
527
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Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning
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Eiichi Matsumoto
K. Takahashi
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Jethro Tan
146
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17 Oct 2017
Recurrent Deterministic Policy Gradient Method for Bipedal Locomotion on Rough Terrain Challenge
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Chuanyu Yang
C. McGreavy
Zhibin Li
343
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Guided Deep Reinforcement Learning for Swarm Systems
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Adrian Šošić
Gerhard Neumann
153
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Reinforcement Mechanism Design for e-commerce
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Aris Filos-Ratsikas
Pingzhong Tang
Yiwei Zhang
98
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25 Aug 2017
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
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389
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Neural Network Memory Architectures for Autonomous Robot Navigation
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Nikolay Atanasov
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Konstantinos Karydis
Daniel D. Lee
Vijay Kumar
157
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Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning
David Isele
Reza Rahimi
Akansel Cosgun
K. Subramanian
K. Fujimura
189
136
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02 May 2017
Robust Adversarial Reinforcement Learning
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
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08 Mar 2017
Cognitive Mapping and Planning for Visual Navigation
International Journal of Computer Vision (IJCV), 2017
Saurabh Gupta
Varun Tolani
James Davidson
Sergey Levine
Rahul Sukthankar
Jitendra Malik
406
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13 Feb 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification
Wenhao Yu
Jie Tan
Chenxi Liu
Greg Turk
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Imitating Driver Behavior with Generative Adversarial Networks
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Jeremy Morton
T. Wheeler
Mykel Kochenderfer
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Reinforcement Learning With Temporal Logic Rewards
Xiao Li
C. Vasile
C. Belta
241
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Nonparametric General Reinforcement Learning
Jan Leike
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248
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Memory Lens: How Much Memory Does an Agent Use?
Christoph Dann
Katja Hofmann
Sebastian Nowozin
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121
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Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
242
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Actor-critic versus direct policy search: a comparison based on sample complexity
Arnaud de Froissard de Broissia
Olivier Sigaud
119
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29 Jun 2016
Review of state-of-the-arts in artificial intelligence with application to AI safety problem
V. Shakirov
143
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Benchmarking Deep Reinforcement Learning for Continuous Control
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Xi Chen
Rein Houthooft
John Schulman
Pieter Abbeel
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472
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22 Apr 2016
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
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09 Sep 2015
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