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Count-Based Exploration with Neural Density Models

Count-Based Exploration with Neural Density Models

3 March 2017
Georg Ostrovski
Marc G. Bellemare
Aaron van den Oord
Rémi Munos
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Papers citing "Count-Based Exploration with Neural Density Models"

17 / 117 papers shown
Title
On the potential for open-endedness in neural networks
On the potential for open-endedness in neural networks
N. Guttenberg
N. Virgo
A. Penn
18
10
0
12 Dec 2018
Exploration Bonus for Regret Minimization in Undiscounted Discrete and
  Continuous Markov Decision Processes
Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes
Jian Qian
Ronan Fruit
Matteo Pirotta
A. Lazaric
6
10
0
11 Dec 2018
Learning Montezuma's Revenge from a Single Demonstration
Learning Montezuma's Revenge from a Single Demonstration
Tim Salimans
Richard J. Chen
20
136
0
08 Dec 2018
Provably Efficient Maximum Entropy Exploration
Provably Efficient Maximum Entropy Exploration
Elad Hazan
Sham Kakade
Karan Singh
A. V. Soest
25
292
0
06 Dec 2018
Episodic Curiosity through Reachability
Episodic Curiosity through Reachability
Nikolay Savinov
Anton Raichuk
Raphaël Marinier
Damien Vincent
Marc Pollefeys
Timothy Lillicrap
Sylvain Gelly
9
266
0
04 Oct 2018
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge
Michal Garmulewicz
Henryk Michalewski
Piotr Milos
14
8
0
10 Sep 2018
Randomized Prior Functions for Deep Reinforcement Learning
Randomized Prior Functions for Deep Reinforcement Learning
Ian Osband
John Aslanides
Albin Cassirer
UQCV
BDL
21
372
0
08 Jun 2018
Re-evaluating Evaluation
Re-evaluating Evaluation
David Balduzzi
K. Tuyls
Julien Perolat
T. Graepel
MoMe
16
96
0
07 Jun 2018
Fast Exploration with Simplified Models and Approximately Optimistic
  Planning in Model Based Reinforcement Learning
Fast Exploration with Simplified Models and Approximately Optimistic Planning in Model Based Reinforcement Learning
Ramtin Keramati
Jay Whang
Patrick Cho
Emma Brunskill
OffRL
21
7
0
01 Jun 2018
Computational Theories of Curiosity-Driven Learning
Computational Theories of Curiosity-Driven Learning
Pierre-Yves Oudeyer
21
64
0
28 Feb 2018
Evolved Policy Gradients
Evolved Policy Gradients
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
49
227
0
13 Feb 2018
Deep Abstract Q-Networks
Deep Abstract Q-Networks
Melrose Roderick
Christopher Grimm
Stefanie Tellex
22
33
0
02 Oct 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
36
2,291
0
05 Jul 2017
Count-Based Exploration in Feature Space for Reinforcement Learning
Count-Based Exploration in Feature Space for Reinforcement Learning
Jarryd Martin
S. N. Sasikumar
Tom Everitt
Marcus Hutter
24
122
0
25 Jun 2017
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement
  Learning
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
Nat Dilokthanakul
Christos Kaplanis
Nick Pawlowski
Murray Shanahan
16
91
0
18 May 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
251
2,550
0
25 Jan 2016
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