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forgedRice/rl_course_vizdoom_health_gathering_supreme
rl_course_vizdoom_health_gathering_supreme is a reinforcement learning model from forgedRice. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for sample-factory.
This is a trained model using Sample Factory's high-performance PPO implementation to play ViZDoom's Health Gathering Supreme scenario from pixel observations.
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Updated Sep 27, 2025
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From the Hugging Face model README
This is a trained model using Sample Factory's high-performance PPO implementation to play ViZDoom's Health Gathering Supreme scenario from pixel observations.
The agent learns to survive in a 3D environment by collecting health packs while avoiding acidic floor damage, using only visual input and basic movement controls.
Algorithm: PPO (Sample Factory implementation)
Environment: ViZDoom Health Gathering Supreme
Training: 4,000,000 steps
Observation: RGB pixels (84x84)
Actions: Turn left, turn right, move forward
The agent must learn survival strategies without explicit knowledge of what prolongs its existence, discovering that collecting medkits is essential for survival.
Performance: Mean reward 8.45 ± 2.1