Gymnasium environments for NES Mario games, with task metadata, reward instrumentation, and reproducible evaluation interfaces.
-
Updated
Sep 30, 2026 - Python
Gymnasium environments for NES Mario games, with task metadata, reward instrumentation, and reproducible evaluation interfaces.
World 1-1 cleared with unmodified Laya on DGX Spark. Model-driven jumping, replay-verified frames, and every decision recorded.
Auditable SMB3 agent experiments: planning, low-latency control, memory/physics research, and reproducible DQN evaluation.
Deep Q-Networks for Super Mario Bros 3, from a beginner-friendly basic implementation to advanced Rainbow-style improvements.
To associate your repository with the super-mario-bros-3 topic, visit your repo's landing page and select "manage topics."