ppo-LunarLander-v3 is an open-source reinforcement learning model trained for the LunarLander-v3 environment, compatible with stable-baselines3 and available on Hugging Face. It is intended for AI researchers and developers working on RL tasks or benchmarking environments.
In the Other AI space, Ppo LunarLander takes a focused approach. Enabling developers to use a pre-trained reinforcement learning agent for the LunarLander-v3 environment. It is built as an open-source project for AI researchers and developers. Ppo LunarLander is open source under the MIT license. The product ships for the web, API, and the command line.
It is developed by RamanRobotics, 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 18 similar tools. Key capabilities include reinforcement learning, model weights, and stable-baselines3 compatible.
Latest indexed changes and source events
RamanRobotics/ppo-LunarLander-v3 discovered by the PulseGate indexer
Other apps tracked under the same category.
