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Memory-based control with recurrent neural networks

Memory-based control with recurrent neural networks

14 December 2015
N. Heess
Jonathan J. Hunt
Timothy Lillicrap
David Silver
ArXivPDFHTML

Papers citing "Memory-based control with recurrent neural networks"

25 / 125 papers shown
Title
Policy Gradients for Contextual Recommendations
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Reinforcement Learning With Temporal Logic Rewards
Xiao Li
C. Vasile
C. Belta
15
214
0
11 Dec 2016
Nonparametric General Reinforcement Learning
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
39
26
0
28 Nov 2016
Memory Lens: How Much Memory Does an Agent Use?
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
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
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
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
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
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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