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On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement
  Learning

On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning

30 October 2022
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
ArXiv (abs)PDFHTML

Papers citing "On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning"

4 / 4 papers shown
Title
Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light
Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light
Mani Hamidi
Terrence W. Deacon
230
0
0
15 Jul 2025
Satisficing Exploration for Deep Reinforcement Learning
Satisficing Exploration for Deep Reinforcement Learning
Dilip Arumugam
Saurabh Kumar
Ramki Gummadi
Benjamin Van Roy
200
3
0
16 Jul 2024
GLIMPSE: Pragmatically Informative Multi-Document Summarization for
  Scholarly Reviews
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews
Maxime Darrin
Ines Arous
Pablo Piantanida
Jackie CK Cheung
151
4
0
11 Jun 2024
An information-theoretic model of shallow and deep language
  comprehension
An information-theoretic model of shallow and deep language comprehension
Jiaxuan Li
Richard Futrell
116
3
0
13 May 2024
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