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Information-Directed Exploration for Deep Reinforcement Learning
v1v2 (latest)

Information-Directed Exploration for Deep Reinforcement Learning

18 December 2018
Nikolay Nikolov
Johannes Kirschner
Felix Berkenkamp
Andreas Krause
ArXiv (abs)PDFHTML

Papers citing "Information-Directed Exploration for Deep Reinforcement Learning"

4 / 54 papers shown
Learning Efficient and Effective Exploration Policies with
  Counterfactual Meta Policy
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy
Ruihan Yang
Qiwei Ye
Tie-Yan Liu
92
0
0
28 May 2019
Estimating Risk and Uncertainty in Deep Reinforcement Learning
Estimating Risk and Uncertainty in Deep Reinforcement Learning
W. Clements
B. V. Delft
Benoît-Marie Robaglia
Reda Bahi Slaoui
Sébastien Toth
280
110
0
23 May 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy
  Critics
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
Denis Steckelmacher
Hélène Plisnier
D. Roijers
A. Nowé
OffRL
152
18
0
11 Mar 2019
Successor Uncertainties: Exploration and Uncertainty in Temporal
  Difference Learning
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
David Janz
Jiri Hron
Przemysław Mazur
Katja Hofmann
José Miguel Hernández-Lobato
Sebastian Tschiatschek
327
54
0
15 Oct 2018
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