Information-Theoretic Bounded Rationality

Information-Theoretic Bounded Rationality

21 December 2015

Pedro A. Ortega

Daniel A. Braun

Papers citing "Information-Theoretic Bounded Rationality"

16 / 16 papers shown

Title
Subgoal Discovery Using a Free Energy Paradigm and State Aggregations Amirhossein Mesbah Reshad Hosseini Seyed Pooya Shariatpanahi M. N. Ahmadabadi 77 0 0 21 Dec 2024
Three Dogmas of Reinforcement Learning David Abel Mark K. Ho Anna Harutyunyan 40 5 0 15 Jul 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning Andreas Schlaginhaufen Maryam Kamgarpour OffRL 23 1 0 03 Jun 2024
Convergence of a model-free entropy-regularized inverse reinforcement learning algorithm Titouan Renard Andreas Schlaginhaufen Tingting Ni Maryam Kamgarpour 59 1 0 25 Mar 2024
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 22 27 0 28 Oct 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 35 25 0 12 Apr 2023
Variational Inference for Model-Free and Model-Based Reinforcement Learning Felix Leibfried OffRL 23 0 0 04 Sep 2022
Fundamental Limits for Sensor-Based Robot Control Anirudha Majumdar Zhi-Yong Mei Vincent Pacelli 27 1 0 31 Jan 2022
A space of goals: the cognitive geometry of informationally bounded agents Karen Archer Nicola Catenacci Volpi F. Bröker Daniel Polani 16 5 0 05 Nov 2021
Robust Control Under Uncertainty via Bounded Rationality and Differential Privacy Vincent Pacelli Anirudha Majumdar 37 9 0 17 Sep 2021
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
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems Heinke Hihn Sebastian Gottwald Daniel A. Braun 30 16 0 26 Jul 2019
Exact Rate-Distortion in Autoencoders via Echo Noise Rob Brekelmans Daniel Moyer Aram Galstyan Greg Ver Steeg 24 17 0 15 Apr 2019
Bounded Rational Decision-Making with Adaptive Neural Network Priors Heinke Hihn Sebastian Gottwald Daniel A. Braun 31 10 0 04 Sep 2018
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning Felix Leibfried Jordi Grau-Moya Haitham Bou-Ammar 38 24 0 06 Aug 2017
Bounded Rational Decision-Making in Feedforward Neural Networks Felix Leibfried Daniel A. Braun 24 9 0 26 Feb 2016