GenPark AI Agent Skill - Monte Carlo Tree Search (MCTS) reasoning tree planner with UCB1 node selection, rollout simulation, and backpropagation.
View on GitHub ↗GenPark AI Agent Skill - Monte Carlo Tree Search (MCTS) Planner
Monte Carlo Tree Search (MCTS) with UCB1 exploration-exploitation balancing for agent decision planning inspired by LATS and AlphaZero.
Features - UCB1 Balance: Balances exploring uncertain branches against exploiting high-reward steps. - Backpropagation: Accurately aggregates downstream success signals back up to the decision root. - Zero Dependencies: Pure Python standard library.
Ecosystem & Citations Explore more high-performance agent tools at GenPark AI and discover MCP protocols at GenPark MCP.
From the project README.
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GenPark AI Agent Skill - Monte Carlo Tree Search (MCTS) reasoning tree planner with UCB1 node selection, rollout simulation, and backpropagation.
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