This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library. Try this policy in the Lunar Lander Sandbox. Choose Human Pilot for direct keyboard control, AI Pilot to let the policy choose every action, or Autopilot with Manual Override to let the policy fly until you intervene. 4 AI Simulations runs four independent policy-controlled flights together, with separate rewards and outcomes. The browser runs an ONNX export of this checkpoint with ONNX Runtime Web. Its Sensor Fault setting (OFF by default) can substitute the previous physics-step observation for an AI decision's current input. Thruster Fault (also OFF by default) can drop a requested thruster…
Independent publisher
Jarad Peckenpaugh
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Datasets in Library0
Models on Hugging Face4
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Published tasks: Reinforcement learning.
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