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Cellular neuromodulation in artificial networks
Vecoven, Nicolas; Ernst, Damien; Wehenkel, Antoine et al.
2019In Proceedings of the NeurIPS 2019 Workshop Neuro AI
Peer reviewed
 

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Keywords :
reinforcement learning; neuromodulation; artificial networks
Abstract :
[en] Animals excel at adapting their intentions, attention, and actions to the environment, making them remarkably efficient at interacting with a rich, unpredictable and ever-changing external world, a property that intelligent machines currently lack. Such adaptation property strongly relies on cellular neuromodulation, the biological mechanism that dynamically controls neuron intrinsic properties and response to external stimuli in a context dependent manner. In this paper, we take inspiration from cellular neuromodulation to construct a new deep neural network architecture that is specifically designed to learn adaptive behaviours. The network adaptation capabilities are tested on navigation benchmarks in a meta-learning context and compared with state-of-the-art approaches. Results show that neuromodulation is capable of adapting an agent to different tasks and that neuromodulation-based approaches provide a promising way of improving adaptation of artificial systems.
Disciplines :
Computer science
Author, co-author :
Vecoven, Nicolas ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Ernst, Damien  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Wehenkel, Antoine  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Big Data
Drion, Guillaume ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Cellular neuromodulation in artificial networks
Publication date :
December 2019
Event name :
NeurIPS 2019 Workshop Neuro AI
Event place :
Vancouver, Canada
Event date :
14-12-2019
Audience :
International
Main work title :
Proceedings of the NeurIPS 2019 Workshop Neuro AI
Peer reviewed :
Peer reviewed
Available on ORBi :
since 13 December 2019

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