GitHub / Cognitive-AI-Systems / him-agent
The Hierarchical Intrinsically Motivated Agent (HIMA) is an algorithm that is intended to exhibit an adaptive goal-directed behavior using neurophysiological models of the neocortex, basal ganglia, and thalamus.
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PURL: pkg:github/Cognitive-AI-Systems/him-agent
Stars: 37
Forks: 2
Open issues: 0
License: agpl-3.0
Language: Python
Size: 124 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: 23 days ago
Pushed at: 6 months ago
Last synced at: 3 days ago
Topics: biologically-plausible-learning, hierarchical-temporal-memory, intrinsic-motivation, model-based-reinforcement-learning, reinforcement-learning, sparse-distributed-representations