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Information-Theoretic State Variable Selection for Reinforcement
  Learning

Information-Theoretic State Variable Selection for Reinforcement Learning

21 January 2024
Charles Westphal
Stephen Hailes
Mirco Musolesi
ArXivPDFHTML

Papers citing "Information-Theoretic State Variable Selection for Reinforcement Learning"

4 / 4 papers shown
Title
Partial Information Decomposition for Data Interpretability and Feature
  Selection
Partial Information Decomposition for Data Interpretability and Feature Selection
Charles Westphal
Stephen Hailes
Mirco Musolesi
34
0
0
29 May 2024
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
Henrique Donancio
L. Vercouter
H. Roclawski
AI4CE
16
1
0
20 Oct 2022
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
282
339
0
14 Sep 2020
Predictive Coding for Locally-Linear Control
Predictive Coding for Locally-Linear Control
Rui Shu
Tung D. Nguyen
Yinlam Chow
Tu Pham
Khoat Than
Mohammad Ghavamzadeh
Stefano Ermon
Hung Bui
OffRL
BDL
32
23
0
02 Mar 2020
1