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Approximate Exploration through State Abstraction

Approximate Exploration through State Abstraction

29 August 2018
Adrien Ali Taïga
Aaron Courville
Marc G. Bellemare
ArXivPDFHTML

Papers citing "Approximate Exploration through State Abstraction"

18 / 18 papers shown
Title
Exploration by Random Network Distillation
Exploration by Random Network Distillation
Yuri Burda
Harrison Edwards
Amos Storkey
Oleg Klimov
147
1,329
0
30 Oct 2018
Exploration in Structured Reinforcement Learning
Exploration in Structured Reinforcement Learning
Jungseul Ok
Alexandre Proutiere
Damianos Tranos
144
62
0
03 Jun 2018
Efficient Bias-Span-Constrained Exploration-Exploitation in
  Reinforcement Learning
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning
Ronan Fruit
Matteo Pirotta
A. Lazaric
R. Ortner
81
116
0
12 Feb 2018
Noisy Networks for Exploration
Noisy Networks for Exploration
Meire Fortunato
M. G. Azar
Bilal Piot
Jacob Menick
Ian Osband
...
Rémi Munos
Demis Hassabis
Olivier Pietquin
Charles Blundell
Shane Legg
79
893
0
30 Jun 2017
Parameter Space Noise for Exploration
Parameter Space Noise for Exploration
Matthias Plappert
Rein Houthooft
Prafulla Dhariwal
Szymon Sidor
Richard Y. Chen
Xi Chen
Tamim Asfour
Pieter Abbeel
Marcin Andrychowicz
52
595
0
06 Jun 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
106
2,433
0
15 May 2017
Exploration--Exploitation in MDPs with Options
Exploration--Exploitation in MDPs with Options
Ronan Fruit
A. Lazaric
36
41
0
25 Mar 2017
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement
  Learning
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann
Tor Lattimore
Emma Brunskill
72
309
0
22 Mar 2017
Minimax Regret Bounds for Reinforcement Learning
Minimax Regret Bounds for Reinforcement Learning
M. G. Azar
Ian Osband
Rémi Munos
80
774
0
16 Mar 2017
Count-Based Exploration with Neural Density Models
Count-Based Exploration with Neural Density Models
Georg Ostrovski
Marc G. Bellemare
Aaron van den Oord
Rémi Munos
84
620
0
03 Mar 2017
Near Optimal Behavior via Approximate State Abstraction
Near Optimal Behavior via Approximate State Abstraction
David Abel
D Ellis Hershkowitz
Michael L. Littman
OffRL
67
164
0
15 Jan 2017
Exploration Potential
Exploration Potential
Jan Leike
38
10
0
16 Sep 2016
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
167
1,473
0
06 Jun 2016
Extreme State Aggregation Beyond MDPs
Extreme State Aggregation Beyond MDPs
Marcus Hutter
114
23
0
12 Jul 2014
Near-optimal Reinforcement Learning in Factored MDPs
Near-optimal Reinforcement Learning in Factored MDPs
Ian Osband
Benjamin Van Roy
74
123
0
15 Mar 2014
Metrics for Finite Markov Decision Processes
Metrics for Finite Markov Decision Processes
N. Ferns
Prakash Panangaden
Doina Precup
74
320
0
11 Jul 2012
On the Sample Complexity of Reinforcement Learning with a Generative
  Model
On the Sample Complexity of Reinforcement Learning with a Generative Model
M. G. Azar
Rémi Munos
H. Kappen
69
156
0
27 Jun 2012
Methods for computing state similarity in Markov Decision Processes
Methods for computing state similarity in Markov Decision Processes
N. Ferns
Pablo Samuel Castro
Doina Precup
Prakash Panangaden
71
87
0
27 Jun 2012
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