ppo-LunarLander-v3 is a pre-trained reinforcement learning policy model for the LunarLander-v3 environment. It is open-source and can be used for research, benchmarking, or as a baseline for further RL experiments.
Ppo LunarLander is an Other AI product. It focuses on providing a pre-trained reinforcement learning policy for the LunarLander-v3 simulation environment. It is built as an open-source project for reinforcement learning researchers and developers. Ppo LunarLander is open source under the MIT license. The product ships for the web, the command line, and API, and it can be self-hosted.
Behind Ppo LunarLander is Janhavi3003, 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 19 similar tools. Key capabilities include reinforcement learning, lunarLander-v3 support, and open weights.
Latest indexed changes and source events
Janhavi3003/ppo-LunarLander-v3 discovered by the PulseGate indexer
Other apps tracked under the same category.
