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Information-Theoretic Bounded Rationality

Information-Theoretic Bounded Rationality

21 December 2015
Pedro A. Ortega
Daniel A. Braun
Justin Dyer
Kee-Eung Kim
Naftali Tishby
ArXiv (abs)PDFHTML

Papers citing "Information-Theoretic Bounded Rationality"

19 / 19 papers shown
Title
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations
Amirhossein Mesbah
Reshad Hosseini
Seyed Pooya Shariatpanahi
M. N. Ahmadabadi
249
0
0
21 Dec 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
Andreas Schlaginhaufen
Maryam Kamgarpour
OffRL
58
3
0
03 Jun 2024
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm
Titouan Renard
Andreas Schlaginhaufen
Tingting Ni
Maryam Kamgarpour
85
1
0
25 Mar 2024
Inverse Decision Modeling: Learning Interpretable Representations of
  Behavior
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Daniel Jarrett
Alihan Huyuk
M. Schaar
AI4CE
89
28
0
28 Oct 2023
Decision-Making Among Bounded Rational Agents
Decision-Making Among Bounded Rational Agents
Junhong Xu
Durgakant Pushp
Kai-Li Yin
Lantao Liu
27
3
0
17 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
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive
  Principal
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal
Tong Mu
Stephan Zheng
Alexander R. Trott
42
3
0
18 Jan 2022
A space of goals: the cognitive geometry of informationally bounded
  agents
A space of goals: the cognitive geometry of informationally bounded agents
Karen Archer
Nicola Catenacci Volpi
F. Bröker
Daniel Polani
50
5
0
05 Nov 2021
Robust Control Under Uncertainty via Bounded Rationality and
  Differential Privacy
Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy
Vincent Pacelli
Anirudha Majumdar
103
9
0
17 Sep 2021
Deep imagination is a close to optimal policy for planning in large
  decision trees under limited resources
Deep imagination is a close to optimal policy for planning in large decision trees under limited resources
R. Moreno-Bote
Chiara Mastrogiuseppe
34
11
0
13 Apr 2021
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
The Efficiency of Human Cognition Reflects Planned Information
  Processing
The Efficiency of Human Cognition Reflects Planned Information Processing
Mark K. Ho
David Abel
Jonathan Cohen
Michael L. Littman
Thomas Griffiths
33
20
0
13 Feb 2020
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
Heinke Hihn
Sebastian Gottwald
Daniel A. Braun
84
16
0
26 Jul 2019
Exact Rate-Distortion in Autoencoders via Echo Noise
Exact Rate-Distortion in Autoencoders via Echo Noise
Rob Brekelmans
Daniel Moyer
Aram Galstyan
Greg Ver Steeg
59
17
0
15 Apr 2019
Bounded Rational Decision-Making with Adaptive Neural Network Priors
Bounded Rational Decision-Making with Adaptive Neural Network Priors
Heinke Hihn
Sebastian Gottwald
Daniel A. Braun
75
10
0
04 Sep 2018
Variational Bayesian Reinforcement Learning with Regret Bounds
Variational Bayesian Reinforcement Learning with Regret Bounds
Brendan O'Donoghue
89
41
0
25 Jul 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
Fully Decentralized Policies for Multi-Agent Systems: An Information
  Theoretic Approach
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
Roel Dobbe
David Fridovich-Keil
Claire Tomlin
95
42
0
20 Jul 2017
Bounded Rational Decision-Making in Feedforward Neural Networks
Bounded Rational Decision-Making in Feedforward Neural Networks
Felix Leibfried
Daniel A. Braun
79
9
0
26 Feb 2016
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