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An Information-Theoretic Perspective on Credit Assignment in
  Reinforcement Learning

An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning

10 March 2021
Dilip Arumugam
Peter Henderson
Pierre-Luc Bacon
ArXivPDFHTML

Papers citing "An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning"

4 / 4 papers shown
Title
Hierarchically Structured Task-Agnostic Continual Learning
Hierarchically Structured Task-Agnostic Continual Learning
Heinke Hihn
Daniel A. Braun
BDL
CLL
19
8
0
14 Nov 2022
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
28
4
0
30 Oct 2022
The Importance of Credo in Multiagent Learning
The Importance of Credo in Multiagent Learning
David Radke
Kate Larson
Timothy B. Brecht
27
11
0
15 Apr 2022
Bad-Policy Density: A Measure of Reinforcement Learning Hardness
Bad-Policy Density: A Measure of Reinforcement Learning Hardness
David Abel
Cameron Allen
Dilip Arumugam
D Ellis Hershkowitz
Michael L. Littman
Lawson L. S. Wong
18
2
0
07 Oct 2021
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