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genpark-mcts-monte-carlo-tree-search-skill

Upper Confidence Bounds for Trees (UCT / MCTS) sequential planning and rollout decision engine.

Details

External ID
1391801584
Source
GITHUB
Company
—
Product
genpark-mcts-monte-carlo-tree-search-skill
Website domain
github.com
Launched
Sept. 28, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
agent-skills, mcp-server, mcts, model-context-protocol, monte-carlo-tree-search, planning-algorithms, python, reinforcement-learning, rollout-simulation, tree-search, uct
Fetched at
Sept. 30, 2026, 1:02 a.m.
Updated at
Sept. 30, 2026, 1:02 a.m.

Enrichment

Theme
autonomous agent research and evaluation
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
monte carlo tree search engine for sequential planning
Manually corrected
False

Could you build this?

Yes Standard Monte Carlo Tree Search with UCT is a textbook algorithmic implementation easily coded in Python or TypeScript with an AI assistant.

Competitors

Other products that read as similar to this one — 1723 launches clear the similarity bar, closest 8 shown.

Attention rank: #1458 of 1724 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 334 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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