An intelligent strategic advisor for simulated battlefield environments. Automates the OODA loop using Gymnasium, LSTM-based intent prediction, and Monte Carlo Tree Search (MCTS) to recommend optimal Courses of Action (COA).
python reinforcement-learning numpy simulation-environment pathfinding pygame pytorch lstm mcts predictive-modeling wargaming gymnasium decision-support-system synthetic-data intent-classification tactical-ai ooda-loop tactical-map stratgic-planning terrain-analysis-
-
Updated
Apr 7, 2026 - Python