Package · PyPI
PyPI · v0.2.0 · Apache License, Version 2.0
A lightweight and efficient MCTS/AlphaZero/MuZero algorithm toolkits.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install lightzeroPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
>=0.5.3==0.28.0<2,>=1.24.1No published news event mentions this package or its repository yet.