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完全本地的 NanoJev 网格决策游戏实验场，支持中文 Pygame、多关卡与 GTX 1660S 训练
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- Updated Oct 2026
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CommunityJev Demos & Experiments
Jev Arena Nanojev
Local grid tactics arena and NanoJev experiment field where each turn offers real candidate actions across 2-AP rounds, enemies, hazards, ammo, cooldowns, and staged bosses.
- Stars
- 5
- Language
- Python
- License
- MIT
- Published by
- Community
- Author
- liao96312
- Last verified
- Oct 2026
Works forJev for Classification
Used inJev for Software & DevTools
- Languages
- Python
Highlights
- Runs fully local with no remote teacher and deterministic maps that stay reproducible by seed and level.
- Combines movement, attacks, shooting, healing, sprint with invincibility frames, EMP, and environment chains.
- Shows model probabilities, reasons, timing, difficulty, ammo, and skill state live in a Chinese interface.
- Ships staged bosses with telegraphed attacks, plus replays, datasets, and head-only training loops.
Watch out
Fully local grid tactics game and model testbed; the hosted Jev API path is opt-in per keypress and local input limits fall back to rule play. Copy reviewed against the repository README on 2026-10-04, not from running it.
Questions about this entry
Short answers drawn from the linked project or page.
By default it starts only the local NanoJev service with no remote calls. Only an explicit agent-switch key reads a local key file for Jev calls, and switching back to local agents is immediate with nothing written to the repo.
The arena builds legal moves and previews life, kills, gems, ammo, and next-step threats by cloning state. NanoJev returns full action probabilities and the hybrid policy adds pathing, healing, and anti-loop constraints.
Windows with Python 3.10 plus an NVIDIA GPU is the validated path, with a venv, pinned requirements, a companion model checkout, and a downloaded checkpoint. A launcher script then starts the service and opens the Chinese game window.
Rule, random, NanoJev, and Jev agents are switchable live with separate keys, plus pause, reopen, level select from 1 to 100, and replay files. Long inputs fall back to rule play for that step rather than failing.
A local NanoJev model service; the game starts only local NanoJev and does not read or call the Jev API, and pressing 4 explicitly switches to the TypeSafe API.
Windows, Python 3.11+ and an NVIDIA GPU, with the default configuration validated on a GTX 1660 SUPER 6GB.
164 regression tests covering environment, combat, map, weapons, save, replay, search and model adaptation.
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