maskable-ppo

AI agents for the boardgame Splendor

Bot Pokémon Gen 1 (Random Battle Showdown) entraîné en RL avec MaskablePPO, imitation + curriculum + self-play ; suivi MLflow.

OpenMC - Physics-informed Reactor-assembly optimization via Interchangeable AI Search Methods

RL agent learns to furnish a small bedroom. MaskablePPO on randomized rooms with a multiplicative reward.

Autonomous Clash Royale agent using computer vision and reinforcement learning. Dual YOLOv11 models + SORT tracking perceive the game state from screen pixels; a Maskable PPO policy decides card placement in real time via simulated mouse clicks.

Highway lane-change decision making with Maskable PPO, deterministic longitudinal control, and action masking in highway-env.

Code and reproducibility materials for reinforcement-learning runway capacity management under uncertainty at São Paulo/Guarulhos (SBGR), associated with Transportation Research Part A.

Code and reproducibility materials for reinforcement-learning tactical air traffic flow and capacity management under uncertainty at São Paulo/Guarulhos (SBGR), associated with Transport Policy.

Final Year Project: RL Red vs Blue cyber drills (MaskablePPO, Stable-Baselines3, Gymnasium) on networks up to 50 hosts, with a FastAPI + React dashboard and PDF security reports

An AI-powered Block Blast solver and gameplay assistant that analyzes board states, evaluates optimal block placements, and helps maximize score through strategy-driven move selection

Unofficial Stable-Baselines3 extension package with MaskableRecurrentPPO.

AI-supported weekly import and inventory planning under demand, price, lead-time, shipment-risk, stockout, and capacity uncertainty.

Cellular-automaton car park simulator + revenue-optimised routing. MaskablePPO trained from scratch beats the analytic per-car optimum (1000-run paired study, p<0.001).

Python reference implementation for pediatric automated insulin delivery (AID) using a dual-agent reinforcement learning approach and safety supervision. Includes exact controller equations, Gymnasium wrappers, YAML configurations, and test suites.