HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory.
Jakob StruyeKevin MetsSteven LatréPublished in: CoRR (2020)
Keyphrases
- biologically plausible
- hierarchical temporal memory
- reinforcement learning
- biologically inspired
- feed forward
- visual cortex
- biological systems
- network architecture
- state space
- spiking neural networks
- receptive fields
- machine learning
- multi agent
- learning algorithm
- complex systems
- spatio temporal
- object recognition
- multiscale
- neural network