Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1710.02298
Cited By
Rainbow: Combining Improvements in Deep Reinforcement Learning
6 October 2017
Matteo Hessel
Joseph Modayil
H. V. Hasselt
Tom Schaul
Georg Ostrovski
Will Dabney
Dan Horgan
Bilal Piot
M. G. Azar
David Silver
OffRL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Rainbow: Combining Improvements in Deep Reinforcement Learning"
12 / 362 papers shown
Title
AGI Safety Literature Review
Tom Everitt
G. Lea
Marcus Hutter
AI4CE
36
115
0
03 May 2018
Gotta Learn Fast: A New Benchmark for Generalization in RL
Alex Nichol
Vicki Pfau
Christopher Hesse
Oleg Klimov
John Schulman
VLM
OffRL
15
177
0
10 Apr 2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Zhewei Huang
Shuchang Zhou
...
Sean F. Carroll
Jennifer Hicks
Sergey Levine
M. Salathé
Scott L. Delp
40
88
0
02 Apr 2018
Joint Learning of Interactive Spoken Content Retrieval and Trainable User Simulator
Pei-Hung Chung
Kuan Tung
Ching-Lun Tai
Hung-yi Lee
RALM
26
1
0
01 Apr 2018
Policy Search in Continuous Action Domains: an Overview
Olivier Sigaud
F. Stulp
16
72
0
13 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
45
1,306
0
12 Mar 2018
Accelerated Methods for Deep Reinforcement Learning
Adam Stooke
Pieter Abbeel
OffRL
OnRL
25
133
0
07 Mar 2018
Distributed Prioritized Experience Replay
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
89
731
0
02 Mar 2018
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
F. Such
Vashisht Madhavan
Edoardo Conti
Joel Lehman
Kenneth O. Stanley
Jeff Clune
47
686
0
18 Dec 2017
AI Safety Gridworlds
Jan Leike
Miljan Martic
Victoria Krakovna
Pedro A. Ortega
Tom Everitt
Andrew Lefrancq
Laurent Orseau
Shane Legg
19
250
0
27 Nov 2017
Action Branching Architectures for Deep Reinforcement Learning
Arash Tavakoli
Fabio Pardo
Petar Kormushev
22
258
0
24 Nov 2017
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning
Felix Leibfried
Jordi Grau-Moya
Haitham Bou-Ammar
35
24
0
06 Aug 2017
Previous
1
2
3
4
5
6
7
8