ppo-LunarLander-v3 is an open-source reinforcement learning agent trained for the LunarLander-v3 environment. It is designed for AI researchers and developers working with RL algorithms and supports integration with stable-baselines3 and CLI tools.
In the Other AI space, Ppo LunarLander takes a focused approach. It focuses on training and evaluating reinforcement learning agents in the LunarLander-v3 environment. Ppo LunarLander is an open-source project aimed at AI researchers and RL developers. The project is open source (MIT). The product ships for the web and the command line, and it can be self-hosted.
Behind Ppo LunarLander is bouncycrab, 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 14 comparable tools. Among its 5 catalogued features are reinforcement learning, lunarLander agent, and stable-baselines3 support.
Latest indexed changes and source events
bouncycrab/ppo-LunarLander-v3 discovered by the PulseGate indexer
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