Information-Theoretic Bounded Rationality

Information-Theoretic Bounded Rationality

21 December 2015

Pedro A. Ortega

Daniel A. Braun

ArXiv (abs)PDF HTML

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 34 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 43 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 115 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 91 9 0 26 Feb 2016