Godot RL FPS: A First-Person Shooter Environment for Reinforcement Learning

Godot RL FPS is a reinforcement learning environment for the Godot Game Engine. The environment was created using the godot_rl_agents library and is hosted on Hugging Face by author jtatman. It was last updated on September 12, 2024.

Use Cases

• Training RL agents for navigation and combat in a first-person shooter environment.
• Benchmarking RL algorithms on a custom 3D game environment built with Godot.
• Developing and testing agent behaviors for dynamic, real-time decision-making scenarios.

Strengths

• Specifically designed for reinforcement learning integration with the Godot game engine.
• Directly associated with the open-source godot_rl_agents library, suggesting a structured development approach.
• Last update timestamp (2024-09-12) is provided, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.

Provenance

Source

jtatman on Hugging Face

Collection Method

Created using the godot_rl_agents library (https://github.com/edbeeching/godot_rl_agents).

Freshness

Last updated 2024-09-12 10:20:14