ppo-LunarLander-v2 is an open-source reinforcement learning model trained with PPO for the LunarLander-v2 environment. It is intended for AI researchers and practitioners who need a ready-to-use agent for experimentation, benchmarking, or integration with stable-baselines3.
Ppo LunarLander sits in PulseGate's Other AI category. It focuses on providing a pretrained reinforcement learning agent for the LunarLander-v2 environment to accelerate research and experimentation. Ppo LunarLander is an open-source project aimed at AI researchers and reinforcement learning practitioners. The project is open source (MIT). The product ships for the web and API.
Behind Ppo LunarLander is wntun, 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. PulseGate's similarity index places it among 17 comparable tools. Among its 5 catalogued features are reinforcement learning, lunarLander-v2 environment, and stable-baselines3 integration.
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wntun/ppo-LunarLander-v2 discovered by the PulseGate indexer
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