Thermodynamics as a theory of decision-making with information processing costs

29 April 2012

Papers citing "Thermodynamics as a theory of decision-making with information processing costs"

32 / 32 papers shown

Title
ADAGE: A generic two-layer framework for adaptive agent based modelling Benjamin Patrick Evans Sihan Zeng Sumitra Ganesh Leo Ardon 58 0 0 17 Jan 2025
"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence Serge Dolgikh 46 0 0 31 Dec 2024
Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 22 27 0 28 Oct 2023
Bayesian Reinforcement Learning with Limited Cognitive Load Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy OffRL 34 8 0 05 May 2023
An information-theoretic learning model based on importance sampling Jiangshe Zhang Lizhen Ji Fei Gao Meng-Qian Li 37 0 0 09 Feb 2023
A unified information-theoretic model of EEG signatures of human language processing Jiaxuan Li Richard Futrell 19 1 0 16 Dec 2022
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning Dilip Arumugam Mark K. Ho Noah D. Goodman Benjamin Van Roy 31 4 0 30 Oct 2022
Variational Inference for Model-Free and Model-Based Reinforcement Learning Felix Leibfried OffRL 20 0 0 04 Sep 2022
A space of goals: the cognitive geometry of informationally bounded agents Karen Archer Nicola Catenacci Volpi F. Bröker Daniel Polani 14 5 0 05 Nov 2021
Model-Free Risk-Sensitive Reinforcement Learning Grégoire Delétang Jordi Grau-Moya M. Kunesch Tim Genewein Rob Brekelmans Shane Legg Pedro A. Ortega OOD 10 9 0 04 Nov 2021
Robust Predictable Control Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine OffRL 29 44 0 07 Sep 2021
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning Dilip Arumugam Peter Henderson Pierre-Luc Bacon 24 17 0 10 Mar 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
Reinforcement Learning with Subspaces using Free Energy Paradigm Milad Ghorbani Reshad Hosseini Seyed Pooya Shariatpanahi M. N. Ahmadabadi 24 0 0 13 Dec 2020
Specialization in Hierarchical Learning Systems Heinke Hihn Daniel A. Braun 29 16 0 03 Nov 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
Competing AI: How does competition feedback affect machine learning? Antonio A. Ginart Eva Zhang Yongchan Kwon James Zou AAML 20 0 0 15 Sep 2020
Reward-rational (implicit) choice: A unifying formalism for reward learning Hong Jun Jeon S. Milli Anca Dragan 17 176 0 12 Feb 2020
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment Felix Leibfried Sergio Pascual-Diaz Jordi Grau-Moya 25 27 0 26 Jul 2019
An Information-theoretic On-line Learning Principle for Specialization in Hierarchical Decision-Making Systems Heinke Hihn Sebastian Gottwald Daniel A. Braun 24 16 0 26 Jul 2019
Bounded rational decision-making from elementary computations that reduce uncertainty Sebastian Gottwald Daniel A. Braun 30 33 0 08 Apr 2019
Where Do Human Heuristics Come From? Marcel Binz Dominik M. Endres 16 0 0 20 Feb 2019
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data Melvin Wong Bilal Farooq 22 24 0 18 Jan 2019
Bounded Rational Decision-Making with Adaptive Neural Network Priors Heinke Hihn Sebastian Gottwald Daniel A. Braun 26 10 0 04 Sep 2018
Balancing Two-Player Stochastic Games with Soft Q-Learning Jordi Grau-Moya Felix Leibfried Haitham Bou-Ammar 24 42 0 09 Feb 2018
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning Felix Leibfried Jordi Grau-Moya Haitham Bou-Ammar 32 24 0 06 Aug 2017
Human Decision-Making under Limited Time Pedro A. Ortega A. Stocker 11 35 0 06 Oct 2016
Planning with Information-Processing Constraints and Model Uncertainty in Markov Decision Processes Jordi Grau-Moya Felix Leibfried Tim Genewein Daniel A. Braun 36 28 0 07 Apr 2016
Bounded Rational Decision-Making in Feedforward Neural Networks Felix Leibfried Daniel A. Braun 19 9 0 26 Feb 2016
Information-Theoretic Bounded Rationality Pedro A. Ortega Daniel A. Braun Justin Dyer Kee-Eung Kim Naftali Tishby 14 51 0 21 Dec 2015
Adaptive information-theoretic bounded rational decision-making with parametric priors Jordi Grau-Moya Daniel A. Braun 18 1 0 05 Nov 2015
A conversion between utility and information Pedro A. Ortega Daniel A. Braun 67 21 0 26 Nov 2009