Minimal and Clean Reinforcement Learning Examples
Les fonctionnalités principales de rlcode/reinforcement-learning sont : Algorithm Implementations, Reinforcement Learning Frameworks.
Les alternatives open-source à rlcode/reinforcement-learning incluent : nivwusquorum/tensorflow-deepq — A deep Q learning demonstration using Google Tensorflow. openai/baselines — Baselines is a comprehensive suite of frameworks for reinforcement learning algorithm implementation, imitation… chainer/chainerrl — ChainerRL is a deep reinforcement learning library built on top of Chainer. instadeepai/jumanji — 🕹️ A diverse suite of scalable reinforcement learning environments in JAX. kaixhin/atari — Persistent advantage learning dueling double DQN for the Arcade Learning Environment. resibots/blackdrops — Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018.
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
Persistent advantage learning dueling double DQN for the Arcade Learning Environment
ChainerRL is a deep reinforcement learning library built on top of Chainer.
A deep Q learning demonstration using Google Tensorflow