AI agents for the boardgame Splendor
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Updated
Jun 22, 2025 - Python
AI agents for the boardgame Splendor
Bot Pokémon Gen 1 (Random Battle Showdown) entraîné en RL avec MaskablePPO, imitation + curriculum + self-play ; suivi MLflow.
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.
RL agent learns to furnish a small bedroom. MaskablePPO on randomized rooms with a multiplicative reward.
OpenMC - Physics-informed Reactor-assembly optimization via Interchangeable AI Search Methods
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.
Highway lane-change decision making with Maskable PPO, deterministic longitudinal control, and action masking in highway-env.
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