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1512.04455
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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"
25 / 125 papers shown
Title
Policy Gradients for Contextual Recommendations
Feiyang Pan
Qingpeng Cai
Pingzhong Tang
Fuzhen Zhuang
Qing He
OffRL
10
39
0
12 Feb 2018
Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces
Louis Faury
Flavian Vasile
23
2
0
22 Jan 2018
Sim2Real View Invariant Visual Servoing by Recurrent Control
Fereshteh Sadeghi
Alexander Toshev
Eric Jang
Sergey Levine
19
98
0
20 Dec 2017
Regret Minimization for Partially Observable Deep Reinforcement Learning
Peter H. Jin
Kurt Keutzer
Sergey Levine
26
51
0
31 Oct 2017
Consequentialist conditional cooperation in social dilemmas with imperfect information
A. Peysakhovich
Adam Lerer
38
65
0
19 Oct 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
67
1,341
0
18 Oct 2017
Map-based Multi-Policy Reinforcement Learning: Enhancing Adaptability of Robots by Deep Reinforcement Learning
A. Kume
Eiichi Matsumoto
K. Takahashi
W. Ko
Jethro Tan
35
11
0
17 Oct 2017
Recurrent Deterministic Policy Gradient Method for Bipedal Locomotion on Rough Terrain Challenge
Doo Re Song
Chuanyu Yang
C. McGreavy
Zhibin Li
26
29
0
08 Oct 2017
Guided Deep Reinforcement Learning for Swarm Systems
Maximilian Hüttenrauch
Adrian Šošić
Gerhard Neumann
26
128
0
18 Sep 2017
Reinforcement Mechanism Design for e-commerce
Qingpeng Cai
Aris Filos-Ratsikas
Pingzhong Tang
Yiwei Zhang
15
4
0
25 Aug 2017
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
62
2,776
0
19 Aug 2017
Neural Network Memory Architectures for Autonomous Robot Navigation
Steven W. Chen
Nikolay Atanasov
Arbaaz Khan
Konstantinos Karydis
Daniel D. Lee
Vijay Kumar
9
7
0
23 May 2017
Navigating Occluded Intersections with Autonomous Vehicles using Deep Reinforcement Learning
David Isele
Reza Rahimi
Akansel Cosgun
K. Subramanian
K. Fujimura
29
137
0
02 May 2017
Robust Adversarial Reinforcement Learning
Lerrel Pinto
James Davidson
Rahul Sukthankar
Abhinav Gupta
OOD
63
843
0
08 Mar 2017
Cognitive Mapping and Planning for Visual Navigation
Saurabh Gupta
Varun Tolani
James Davidson
Sergey Levine
Rahul Sukthankar
Jitendra Malik
25
710
0
13 Feb 2017
Preparing for the Unknown: Learning a Universal Policy with Online System Identification
Wenhao Yu
Jie Tan
Chenxi Liu
Greg Turk
OffRL
17
305
0
08 Feb 2017
Imitating Driver Behavior with Generative Adversarial Networks
Alex Kuefler
Jeremy Morton
T. Wheeler
Mykel Kochenderfer
GAN
32
405
0
24 Jan 2017
Reinforcement Learning With Temporal Logic Rewards
Xiao Li
C. Vasile
C. Belta
15
214
0
11 Dec 2016
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
39
26
0
28 Nov 2016
Memory Lens: How Much Memory Does an Agent Use?
Christoph Dann
Katja Hofmann
Sebastian Nowozin
OffRL
17
3
0
21 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
27
11
0
01 Nov 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
Review of state-of-the-arts in artificial intelligence with application to AI safety problem
V. Shakirov
20
10
0
11 May 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
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
31
13,120
0
09 Sep 2015
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