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Temporally-Extended ε-Greedy Exploration

Temporally-Extended ε-Greedy Exploration

2 June 2020
Will Dabney
Georg Ostrovski
André Barreto
ArXivPDFHTML

Papers citing "Temporally-Extended ε-Greedy Exploration"

11 / 11 papers shown
Title
Bayesian Q-learning With Imperfect Expert Demonstrations
Bayesian Q-learning With Imperfect Expert Demonstrations
Fengdi Che
Xiru Zhu
Doina Precup
D. Meger
Gregory Dudek
14
2
0
01 Oct 2022
Temporally Extended Successor Representations
Temporally Extended Successor Representations
Matthew J. Sargent
Peter J Bentley
Caswell Barry
W. D. Cothi
17
1
0
25 Sep 2022
Combining Evolutionary Search with Behaviour Cloning for Procedurally
  Generated Content
Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content
Nicholas Muir
Steven D. James
19
0
0
29 Jul 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
Recent Advances in Reinforcement Learning in Finance
Recent Advances in Reinforcement Learning in Finance
B. Hambly
Renyuan Xu
Huining Yang
OffRL
27
166
0
08 Dec 2021
A Survey of Exploration Methods in Reinforcement Learning
A Survey of Exploration Methods in Reinforcement Learning
Susan Amin
Maziar Gomrokchi
Harsh Satija
H. V. Hoof
Doina Precup
OffRL
16
80
0
01 Sep 2021
When should agents explore?
When should agents explore?
Miruna Pislar
David Szepesvari
Georg Ostrovski
Diana Borsa
Tom Schaul
34
22
0
26 Aug 2021
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
Victor Campos
Pablo Sprechmann
S. Hansen
André Barreto
Steven Kapturowski
Alex Vitvitskyi
Adria Puigdomenech Badia
Charles Blundell
OffRL
OnRL
33
26
0
24 Feb 2021
Machine Learning for Mechanical Ventilation Control
Machine Learning for Mechanical Ventilation Control
Daniel Suo
Naman Agarwal
Wenhan Xia
Xinyi Chen
Udaya Ghai
...
J. LaChance
Tom Zadjel
Manuel Schottdorf
Daniel J. Cohen
Elad Hazan
OOD
AI4CE
54
10
0
12 Feb 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient
  Reinforcement Learning
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning
William F. Whitney
Michael Bloesch
Jost Tobias Springenberg
A. Abdolmaleki
Kyunghyun Cho
Martin Riedmiller
OffRL
19
13
0
23 Jan 2021
Machine Learning in Event-Triggered Control: Recent Advances and Open
  Issues
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues
Leila Sedghi
Zohaib Ijaz
Md. Noor-A.-Rahim
K. Witheephanich
Dirk Pesch
AI4CE
28
15
0
27 Sep 2020
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