ppo-LunarLander-v3 is an open-source reinforcement learning model trained for the LunarLander-v3 environment. It is compatible with stable-baselines3 and can be integrated into research workflows or used for benchmarking RL algorithms. Ideal for ML researchers and practitioners working with OpenAI Gym environments.
Ppo LunarLander is an Other AI product. It focuses on training and deploying reinforcement learning agents for the LunarLander-v3 environment without building models from scratch. Ppo LunarLander is an open-source project aimed at machine learning researchers. The project is open source (MIT). The product ships for the web, API, and the command line.
kaleido-jean 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 22 similar apps in PulseGate's index. Among its 5 catalogued features are reinforcement learning, lunarLander-v3 support, and stable-baselines3 compatible.
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