🕹️ A diverse suite of scalable reinforcement learning environments in JAX
A deep Q learning demonstration using Google Tensorflow
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Baselines is a comprehensive suite of frameworks for reinforcement learning algorithm implementation, imitation learning, and training orchestration. It provides a library of standardized learning algorithms used to benchmark and replicate research results, alongside a deep learning policy framework for constructing neural network architectures such as multi-layer perceptrons, convolutional networks, and long short-term memory networks. The project includes a specialized imitation learning toolkit that enables agents to mimic expert behavior through behavior cloning and generative adversarial
Persistent advantage learning dueling double DQN for the Arcade Learning Environment
Les fonctionnalités principales de kaixhin/atari sont : Algorithm Implementations, Reinforcement Learning Frameworks.
Les alternatives open-source à kaixhin/atari incluent : openai/baselines — Baselines is a comprehensive suite of frameworks for reinforcement learning algorithm implementation, imitation… resibots/blackdrops — Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018. 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. nivwusquorum/tensorflow-deepq — A deep Q learning demonstration using Google Tensorflow. rlcode/reinforcement-learning — Minimal and Clean Reinforcement Learning Examples.