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Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents

Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents

Hugo Laurençon
Charbel-Raphaël Ségerie
J. Lussange
Boris Gutkin
ArXiv (abs)PDFHTML

Papers citing "Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents"

3 / 3 papers shown
Title
A Unified Theory of Compositionality, Modularity, and Interpretability in Markov Decision Processes
A Unified Theory of Compositionality, Modularity, and Interpretability in Markov Decision Processes
Thomas J. Ringstrom
Paul Schrater
92
0
0
11 Jun 2025
The need of a self for self-driving cars a theoretical model applying homeostasis to self driving
The need of a self for self-driving cars a theoretical model applying homeostasis to self driving
Martin Schmalzried
98
1
0
19 Jun 2024
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Sungwoo Lee
Younghyun Oh
Hyunhoe An
Hyebhin Yoon
K. Friston
Seok Jun Hong
Choong-Wan Woo
AI4CE
135
2
0
12 Sep 2023