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1512.06789
Cited By
Information-Theoretic Bounded Rationality
21 December 2015
Pedro A. Ortega
Daniel A. Braun
Justin Dyer
Kee-Eung Kim
Naftali Tishby
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Papers citing
"Information-Theoretic Bounded Rationality"
19 / 19 papers shown
Title
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
Andreas Schlaginhaufen
Maryam Kamgarpour
OffRL
58
3
0
03 Jun 2024
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
Daniel Jarrett
Alihan Huyuk
M. Schaar
AI4CE
89
28
0
28 Oct 2023
Decision-Making Among Bounded Rational Agents
Junhong Xu
Durgakant Pushp
Kai-Li Yin
Lantao Liu
31
3
0
17 Oct 2022
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
Tong Mu
Stephan Zheng
Alexander R. Trott
42
3
0
18 Jan 2022
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
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
R. Moreno-Bote
Chiara Mastrogiuseppe
34
11
0
13 Apr 2021
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
Mark K. Ho
David Abel
Jonathan Cohen
Michael L. Littman
Thomas Griffiths
40
20
0
13 Feb 2020
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
Rob Brekelmans
Daniel Moyer
Aram Galstyan
Greg Ver Steeg
59
17
0
15 Apr 2019
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
Brendan O'Donoghue
113
41
0
25 Jul 2018
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
Roel Dobbe
David Fridovich-Keil
Claire Tomlin
95
42
0
20 Jul 2017
Bounded Rational Decision-Making in Feedforward Neural Networks
Felix Leibfried
Daniel A. Braun
85
9
0
26 Feb 2016
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