HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory.
Jakob StruyeKevin MetsSteven LatréPublished in: BNAIC/BENELEARN (2019)
Keyphrases
- biologically plausible
- hierarchical temporal memory
- reinforcement learning
- biologically inspired
- feed forward
- visual cortex
- biological systems
- back propagation
- multi agent
- state space
- network architecture
- complex systems
- computer vision
- multiscale
- image quality
- recurrent neural networks
- neural nets
- object recognition
- receptive fields