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Bounded Rational Decision-Making in Feedforward Neural Networks
v1v2 (latest)

Bounded Rational Decision-Making in Feedforward Neural Networks

26 February 2016
Felix Leibfried
Daniel A. Braun
ArXiv (abs)PDFHTML

Papers citing "Bounded Rational Decision-Making in Feedforward Neural Networks"

7 / 7 papers shown
Title
BIASeD: Bringing Irrationality into Automated System Design
BIASeD: Bringing Irrationality into Automated System Design
Aditya Gulati
M. Lozano
Bruno Lepri
Nuria Oliver
90
7
0
01 Oct 2022
Variational Inference for Model-Free and Model-Based Reinforcement
  Learning
Variational Inference for Model-Free and Model-Based Reinforcement Learning
Felix Leibfried
OffRL
76
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
162
52
0
27 Dec 2020
Mutual-Information Regularization in Markov Decision Processes and
  Actor-Critic Learning
Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning
Felix Leibfried
Jordi Grau-Moya
74
22
0
11 Sep 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and
  Empowerment
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
Felix Leibfried
Sergio Pascual-Diaz
Jordi Grau-Moya
110
29
0
26 Jul 2019
An information-theoretic on-line update principle for perception-action
  coupling
An information-theoretic on-line update principle for perception-action coupling
Zhen Peng
Tim Genewein
Felix Leibfried
Daniel A. Braun
79
13
0
16 Apr 2018
An Information-Theoretic Optimality Principle for Deep Reinforcement
  Learning
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning
Felix Leibfried
Jordi Grau-Moya
Haitham Bou-Ammar
101
24
0
06 Aug 2017
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