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GitHub / opendilab / LightZero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opendilab%2FLightZero

Stars: 858
Forks: 68
Open Issues: 13

License: apache-2.0
Language: Python
Repo Size: 44.3 MB
Dependencies: 63

Created: over 1 year ago
Updated: about 2 months ago
Last pushed: about 2 months ago
Last synced: about 2 months ago

Commit Stats

Commits: 110
Authors: 18
Mean commits per author: 6.11
Development Distribution Score: 0.673
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/opendilab/LightZero

Topics: alpha-beta-pruning, alphazero, atari, board-game, board-games, continuous-control, efficientzero, gomoku, gumbel-muzero, gym, mcts, mcts-algorithm, monte-carlo-tree-search, muzero, pytorch, reinforcement-learning, sampled-muzero, self-play, stochastic-muzero, tictactoe

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    Dependencies
    Dockerfile docker
    setup.py pypi