SourceReddit r/MachineLearning•Stalecollected in 4h
High-Performance Gumbel MCTS Released
#mcts#gumbel#self-playgumbel-mctsgumbel-mctsnumbapuct
💡2-15x faster MCTS + Gumbel for chess-scale games – RL must-have
⚡ 30-Second TL;DR
What Changed
PUCT implementation 2-15x faster than baseline
Why It Matters
Accelerates RL research in games by enabling faster simulations, especially Gumbel for low budgets. Fills gap in efficient open-source MCTS tools for self-play setups.
What To Do Next
Clone https://github.com/olivkoch/gumbel-mcts and benchmark PUCT on your self-play game.
Who should care:Researchers & Academics
Key Points
- •PUCT implementation 2-15x faster than baseline
- •Dense and sparse Gumbel MCTS variants
- •Validated against golden standard baseline
- •Optimized for self-play environments
- •Supports large action spaces like chess
📰
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Original source: Reddit r/MachineLearning ↗
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