AIRI-Institute / 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.

Date Created 2022-02-22 (2 years ago)

Commits 1,564 (last one 4 days ago)

Stargazers 31 (0 this week)

Watchers 6 (0 this week)

Forks 0

License agpl-3.0

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RepositoryStats indexes 534,880 repositories, of these AIRI-Institute/him-agent is ranked #512,654 (4th percentile) for total stargazers, and #285,507 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #98,492/103,597.

AIRI-Institute/him-agent is also tagged with popular topics, for these it's ranked: reinforcement-learning (#1,148/1190)

All Topics

intrinsic-motivation reinforcement-learning hierarchical-temporal-memory biologically-plausible-learning model-based-reinforcement-learning sparse-distributed-representations

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updated: 2024-06-28 @ 05:23am, id: 462419298 / R_kgDOG4_1Yg