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An Information-theoretic On-line Learning Principle for Specialization
  in Hierarchical Decision-Making Systems

An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems

26 July 2019
Heinke Hihn
Sebastian Gottwald
Daniel A. Braun
ArXivPDFHTML

Papers citing "An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems"

6 / 6 papers shown
Title
An information-theoretic learning model based on importance sampling
An information-theoretic learning model based on importance sampling
Jiangshe Zhang
Lizhen Ji
Fei Gao
Meng-Qian Li
34
0
0
09 Feb 2023
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
19
8
0
14 Nov 2022
Variational Inference for Model-Free and Model-Based Reinforcement
  Learning
Variational Inference for Model-Free and Model-Based Reinforcement Learning
Felix Leibfried
OffRL
13
0
0
04 Sep 2022
A Tutorial on Sparse Gaussian Processes and Variational Inference
A Tutorial on Sparse Gaussian Processes and Variational Inference
Felix Leibfried
Vincent Dutordoir
S. T. John
N. Durrande
GP
42
49
0
27 Dec 2020
Reinforcement Learning with Subspaces using Free Energy Paradigm
Reinforcement Learning with Subspaces using Free Energy Paradigm
Milad Ghorbani
Reshad Hosseini
Seyed Pooya Shariatpanahi
M. N. Ahmadabadi
16
0
0
13 Dec 2020
Specialization in Hierarchical Learning Systems
Specialization in Hierarchical Learning Systems
Heinke Hihn
Daniel A. Braun
29
16
0
03 Nov 2020
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