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Stochastic Thinking

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by chirag127

Implements five stochastic algorithms including Markov Decision Processes, Monte Carlo Tree Search, Multi-Armed Bandit models, Bayesian Optimization, and Hidden Markov Models to enable probabilistic decision-making that breaks out of deterministic patterns for strategic planning, exploration-exploitation balance, and uncertainty-aware optimization in game playing, A/B testing, hyperparameter tuning, and route optimization tasks.

GitHub ↗PulseMCP
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Source
PulseMCP
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Last Updated
5/12/2026

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