Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1511.05952
Cited By
Prioritized Experience Replay
18 November 2015
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Prioritized Experience Replay"
50 / 1,441 papers shown
Title
Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning
Yuhang Song
Mai Xu
Songyang Zhang
Liangyu Huo
31
3
0
27 Oct 2017
The Effects of Memory Replay in Reinforcement Learning
Ruishan Liu
James Zou
VLM
11
110
0
18 Oct 2017
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel
Joseph Modayil
H. V. Hasselt
Tom Schaul
Georg Ostrovski
Will Dabney
Dan Horgan
Bilal Piot
M. G. Azar
David Silver
OffRL
63
2,237
0
06 Oct 2017
Parameter Sharing Deep Deterministic Policy Gradient for Cooperative Multi-agent Reinforcement Learning
Xiangxiang Chu
Hangjun Ye
33
56
0
01 Oct 2017
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning
Giuseppe Paolo
L. Tai
Ming Liu
8
7
0
25 Sep 2017
Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning
Junhong Xu
Shangyue Zhu
Hanqing Guo
Shaoen Wu
SSL
29
3
0
22 Sep 2017
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning
Kyungjae Lee
Sungjoon Choi
Songhwai Oh
14
67
0
19 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado
Marc G. Bellemare
Erik Talvitie
J. Veness
Matthew J. Hausknecht
Michael Bowling
35
544
0
18 Sep 2017
Shared Learning : Enhancing Reinforcement in
Q
Q
Q
-Ensembles
Rakesh R Menon
Balaraman Ravindran
27
0
0
14 Sep 2017
Deep Reinforcement Learning with Surrogate Agent-Environment Interface
Songli Wang
Yutao Jing
20
1
0
12 Sep 2017
Autonomous Quadrotor Landing using Deep Reinforcement Learning
Riccardo Polvara
Massimiliano Patacchiola
Sanjay K. Sharma
Jian Wan
Andrew Manning
R. Sutton
Angelo Cangelosi
10
47
0
11 Sep 2017
BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning
Simyung Chang
Y. Yoo
Jaeseok Choi
Nojun Kwak
OffRL
6
1
0
05 Sep 2017
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
24
206
0
25 Aug 2017
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
65
2,776
0
19 Aug 2017
Unsupervised Incremental Learning of Deep Descriptors From Video Streams
F. Pernici
A. Bimbo
CLL
CVBM
21
12
0
11 Aug 2017
Deep Reinforcement Learning for Inquiry Dialog Policies with Logical Formula Embeddings
Takuya Hiraoka
Masaaki Tsuchida
Yotaro Watanabe
16
0
0
02 Aug 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
Matej Vecerík
Todd Hester
Jonathan Scholz
Fumin Wang
Olivier Pietquin
Bilal Piot
N. Heess
Thomas Rothörl
Thomas Lampe
Martin Riedmiller
OffRL
19
658
0
27 Jul 2017
A Distributional Perspective on Reinforcement Learning
Marc G. Bellemare
Will Dabney
Rémi Munos
OffRL
48
1,484
0
21 Jul 2017
Lenient Multi-Agent Deep Reinforcement Learning
Gregory Palmer
K. Tuyls
D. Bloembergen
Rahul Savani
36
160
0
14 Jul 2017
Distral: Robust Multitask Reinforcement Learning
Yee Whye Teh
V. Bapst
Wojciech M. Czarnecki
John Quan
J. Kirkpatrick
R. Hadsell
N. Heess
Razvan Pascanu
44
544
0
13 Jul 2017
Learning Heuristic Search via Imitation
M. Bhardwaj
Sanjiban Choudhury
Sebastian Scherer
21
80
0
10 Jul 2017
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
92
2,296
0
05 Jul 2017
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning
Haiyan Yin
Jianda Chen
Sinno Jialin Pan
11
5
0
03 Jul 2017
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes
Taylor W. Killian
Samuel Daulton
George Konidaris
Finale Doshi-Velez
14
105
0
20 Jun 2017
Hybrid Reward Architecture for Reinforcement Learning
H. V. Seijen
Mehdi Fatemi
Joshua Romoff
Romain Laroche
Tavian Barnes
Jeffrey Tsang
8
252
0
13 Jun 2017
ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning
Hangyu Mao
Zhibo Gong
Yan Ni
Zhen Xiao
30
44
0
10 Jun 2017
Parameter Space Noise for Exploration
Matthias Plappert
Rein Houthooft
Prafulla Dhariwal
Szymon Sidor
Richard Y. Chen
Xi Chen
Tamim Asfour
Pieter Abbeel
Marcin Andrychowicz
29
593
0
06 Jun 2017
Non-Markovian Control with Gated End-to-End Memory Policy Networks
J. Perez
T. Silander
OffRL
13
6
0
31 May 2017
Experience Replay Using Transition Sequences
Thommen George Karimpanal
Roland Bouffanais
OffRL
28
14
0
30 May 2017
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach
Aniruddh Raghu
Matthieu Komorowski
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
OffRL
11
192
0
23 May 2017
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning
Sahil Sharma
A. Suresh
Rahul Ramesh
Balaraman Ravindran
OffRL
15
36
0
20 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
Investigating Recurrence and Eligibility Traces in Deep Q-Networks
J. Harb
Doina Precup
25
21
0
18 Apr 2017
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
A. Gruslys
Will Dabney
M. G. Azar
Bilal Piot
Marc G. Bellemare
Rémi Munos
21
58
0
15 Apr 2017
Deep Q-learning from Demonstrations
Todd Hester
Matej Vecerík
Olivier Pietquin
Marc Lanctot
Tom Schaul
...
Gabriel Dulac-Arnold
Ian Osband
J. Agapiou
Joel Z Leibo
A. Gruslys
OffRL
14
154
0
12 Apr 2017
A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment
Haonan Yu
Haichao Zhang
Wenyuan Xu
LM&Ro
11
25
0
28 Mar 2017
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Yunzhu Li
Jiaming Song
Stefano Ermon
19
44
0
26 Mar 2017
Deep Exploration via Randomized Value Functions
Ian Osband
Benjamin Van Roy
Daniel Russo
Zheng Wen
41
300
0
22 Mar 2017
Sensor Fusion for Robot Control through Deep Reinforcement Learning
Steven Bohez
Tim Verbelen
E. D. Coninck
B. Vankeirsbilck
Pieter Simoens
Bart Dhoedt
SSL
10
29
0
13 Mar 2017
Reinforcement Learning for Transition-Based Mention Detection
Georgiana Dinu
Wael Hamza
Radu Florian
24
1
0
13 Mar 2017
Neural Episodic Control
Alexander Pritzel
Benigno Uria
Sriram Srinivasan
A. Badia
Oriol Vinyals
Demis Hassabis
Daan Wierstra
Charles Blundell
OffRL
BDL
35
345
0
06 Mar 2017
End-to-End Task-Completion Neural Dialogue Systems
Xiujun Li
Yun-Nung Chen
Lihong Li
Jianfeng Gao
Asli Celikyilmaz
30
366
0
03 Mar 2017
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Ofir Nachum
Mohammad Norouzi
Kelvin Xu
Dale Schuurmans
26
466
0
28 Feb 2017
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
134
596
0
28 Feb 2017
Learning Control for Air Hockey Striking using Deep Reinforcement Learning
Ayal Taitler
N. Shimkin
17
10
0
26 Feb 2017
Towards a Common Implementation of Reinforcement Learning for Multiple Robotic Tasks
Angel Martínez-Tenor
Juan-Antonio Fernández-Madrigal
A. Cruz-Martín
Javier González Jiménez
OffRL
8
32
0
21 Feb 2017
Learning to Multi-Task by Active Sampling
Sahil Sharma
Ashutosh Jha
Parikshit Hegde
Balaraman Ravindran
18
21
0
20 Feb 2017
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study
John P. Lalor
Hao Wu
Tsendsuren Munkhdalai
Hong-ye Yu
ELM
24
3
0
15 Feb 2017
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
Stefan Elfwing
E. Uchibe
Kenji Doya
8
1,663
0
10 Feb 2017
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
Previous
1
2
3
...
27
28
29
Next