$ cat beebot-ai-planner.md
BeeBot AI Planner
AI search and decision-making for a stochastic hex-grid planner with nondeterministic actions.
- Python
- UCS
- Value Iteration
- Policy Iteration
Overview
An AI planning agent that navigates a stochastic hex-grid world where actions don’t always succeed as intended. Built to compare search-based and MDP-based approaches to decision-making under uncertainty.
What I built
- Uniform Cost Search for deterministic shortest-path planning
- Value iteration and policy iteration solvers for the full MDP formulation, handling nondeterministic action outcomes, movement costs and penalties
- Convergence checks and optimal action/policy extraction from the converged value function