ppo-LunarLander-v3 is an open-source reinforcement learning model trained for the LunarLander-v3 environment. It is available for integration with stable-baselines3 and can be used for research, benchmarking, or as a starting point for further RL development. The model is intended for machine learning researchers and developers.
Ppo LunarLander sits in PulseGate's Other AI category. It focuses on providing a ready-to-use reinforcement learning agent for LunarLander-v3 to accelerate RL research and experimentation. It is built as an open-source project for machine learning researchers and developers. Ppo LunarLander is open source under the MIT license. Ppo LunarLander is available on the web, API, and the command line.
It is developed by sameeerrry, and the product first shipped in 2019. Development happens publicly on GitHub with 13.6k stars and 10 commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 12 similar tools. Key capabilities include reinforcement learning, model weights, and stable-baselines3 integration.
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