ppo-LunarLander-v3 is an open-source reinforcement learning model trained on the LunarLander-v3 environment using stable-baselines3. It enables researchers and developers to evaluate, fine-tune, or deploy a pre-trained agent for simulation and experimentation in reinforcement learning tasks.
In the Other AI space, Ppo LunarLander takes a focused approach. It focuses on providing a pre-trained reinforcement learning agent for the LunarLander-v3 simulation environment. Ppo LunarLander is an open-source project aimed at AI researchers and developers. The project is open source (MIT). It runs on the web, the command line, and API, and it can be self-hosted.
vicsonsam builds and maintains Ppo LunarLander, and the product first shipped in 2019. The project is developed in the open on GitHub with 13.6k stars and 10 commits in the last 90 days. It competes in a saturated segment with 24 similar apps in PulseGate's index. Among its 5 catalogued features are reinforcement learning, stable-baselines3 compatible, and lunarLander-v3 environment.
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