Stochastic Thinking

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.