lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents.
Rachmad Vidya Wicaksana PutraMuhammad ShafiquePublished in: CoRR (2022)
Keyphrases
- autonomous agents
- supervised learning
- learning algorithm
- intelligent behavior
- learning process
- learning systems
- agent negotiation
- multi agent
- dynamic environments
- learning agents
- biologically plausible
- biologically inspired
- machine learning
- spiking neural networks
- motor control
- incomplete information
- multi agent systems
- artificial intelligence
- adaptive learning
- learning scheme
- learning mechanism
- multiagent systems
- computational model
- reinforcement learning
- neural network