Cognitive-AI-Systems / learn-to-follow

[AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm for constructing a long-term plan and reinforcement learning for resolving local conflicts.

Date Created 2023-12-10 (about a year ago)
Commits 18 (last one 7 months ago)
Stargazers 39 (0 this week)
Watchers 3 (0 this week)
Forks 4
License mit
Ranking

RepositoryStats indexes 637,706 repositories, of these Cognitive-AI-Systems/learn-to-follow is ranked #555,708 (13th percentile) for total stargazers, and #420,030 for total watchers. Github reports the primary language for this repository as C++, for repositories using this language it is ranked #30,350/33,951.

Cognitive-AI-Systems/learn-to-follow is also tagged with popular topics, for these it's ranked: reinforcement-learning (#1,295/1468)

Other Information

There have been 1 release, the latest one was published on 2024-01-15 (about a year ago) with the name Raw data.

Star History

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Watcher History

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Recent Commit History

18 commits on the default branch (main) since jan '22

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Issue History

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Languages

The primary language is C++ but there's also others...

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updated: 2025-03-18 @ 04:32am, id: 729763799 / R_kgDOK39P1w