ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.05769
  4. Cited By
The Efficiency of Human Cognition Reflects Planned Information
  Processing

The Efficiency of Human Cognition Reflects Planned Information Processing

AAAI Conference on Artificial Intelligence (AAAI), 2020
13 February 2020
Mark K. Ho
David Abel
Jonathan Cohen
Michael L. Littman
Thomas Griffiths
ArXiv (abs)PDFHTML

Papers citing "The Efficiency of Human Cognition Reflects Planned Information Processing"

10 / 10 papers shown
The Alignment Bottleneck
The Alignment Bottleneck
Wenjun Cao
327
0
0
19 Sep 2025
Satisficing Exploration for Deep Reinforcement Learning
Satisficing Exploration for Deep Reinforcement Learning
Dilip Arumugam
Saurabh Kumar
Ramki Gummadi
Benjamin Van Roy
287
3
0
16 Jul 2024
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory
M. Çelikok
F. Oliehoek
Jan-Willem van de Meent
350
2
0
29 May 2024
Inverse Decision Modeling: Learning Interpretable Representations of
  Behavior
Inverse Decision Modeling: Learning Interpretable Representations of BehaviorInternational Conference on Machine Learning (ICML), 2023
Daniel Jarrett
Alihan Huyuk
M. Schaar
AI4CE
262
30
0
28 Oct 2023
The QUATRO Application Suite: Quantum Computing for Models of Human
  Cognition
The QUATRO Application Suite: Quantum Computing for Models of Human Cognition
Raghavendra Pradyumna Pothukuchi
Leon Lufkin
Yu Jun Shen
Alejandro Simon
Rome Thorstenson
...
B. Jongkees
Yongshan Ding
J. Busemeyer
Jonathan D Cohen
Abhishek Bhattacharjee
259
3
0
01 Sep 2023
Bayesian Reinforcement Learning with Limited Cognitive Load
Bayesian Reinforcement Learning with Limited Cognitive LoadOpen Mind (OM), 2023
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
OffRL
259
16
0
05 May 2023
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement
  Learning
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
304
7
0
30 Oct 2022
Resource-rational Task Decomposition to Minimize Planning Costs
Resource-rational Task Decomposition to Minimize Planning CostsAnnual Meeting of the Cognitive Science Society (CogSci), 2020
Carlos G. Correa
Mark K. Ho
Frederick Callaway
Thomas Griffiths
136
20
0
27 Jul 2020
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents
Online Bayesian Goal Inference for Boundedly-Rational Planning AgentsNeural Information Processing Systems (NeurIPS), 2020
Zhi-Xuan Tan
Jordyn L. Mann
Tom Silver
J. Tenenbaum
Vikash K. Mansinghka
OffRL
344
109
0
13 Jun 2020
The Two Kinds of Free Energy and the Bayesian Revolution
The Two Kinds of Free Energy and the Bayesian Revolution
Sebastian Gottwald
Daniel A. Braun
3DV
395
35
0
24 Apr 2020
1
Page 1 of 1