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The Variational Bandwidth Bottleneck: Stochastic Evaluation on an
  Information Budget

The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget

24 April 2020
Anirudh Goyal
Yoshua Bengio
M. Botvinick
Sergey Levine
ArXivPDFHTML

Papers citing "The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget"

6 / 6 papers shown
Title
Bayesian Reinforcement Learning with Limited Cognitive Load
Bayesian Reinforcement Learning with Limited Cognitive Load
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
OffRL
34
8
0
05 May 2023
Minimum Description Length Control
Minimum Description Length Control
Theodore H. Moskovitz
Ta-Chu Kao
M. Sahani
M. Botvinick
26
1
0
17 Jul 2022
Retrieval-Augmented Reinforcement Learning
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal
A. Friesen
Andrea Banino
T. Weber
Nan Rosemary Ke
...
Michal Valko
Simon Osindero
Timothy Lillicrap
N. Heess
Charles Blundell
OffRL
32
53
0
17 Feb 2022
Interpretable Learned Emergent Communication for Human-Agent Teams
Interpretable Learned Emergent Communication for Human-Agent Teams
Seth Karten
Mycal Tucker
Huao Li
Siva Kailas
Michael Lewis
Katia P. Sycara
AI4CE
23
10
0
19 Jan 2022
Towards an Understanding of Default Policies in Multitask Policy
  Optimization
Towards an Understanding of Default Policies in Multitask Policy Optimization
Theodore H. Moskovitz
Michael Arbel
Jack Parker-Holder
Aldo Pacchiano
22
9
0
04 Nov 2021
Predictive Information Accelerates Learning in RL
Predictive Information Accelerates Learning in RL
Kuang-Huei Lee
Ian S. Fischer
Anthony Z. Liu
Yijie Guo
Honglak Lee
John F. Canny
S. Guadarrama
15
72
0
24 Jul 2020
1