10 dépôts
Awesome GitHub RepositoriesAlgorithm Implementations
Libraries and collections providing ready-to-use reinforcement learning algorithms.
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Awesome Algorithm Implementations GitHub Repositories
Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
- openai/baselines
openai/baselines
16,733Voir sur GitHubBaselines 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
Well-tested implementations of standard reinforcement learning algorithms.
Python - rushter/mlalgorithms
rushter/MLAlgorithms
10,983Voir sur GitHubMLAlgorithms is an educational machine learning algorithm library consisting of core predictive models implemented from scratch in Python. It serves as a reference for developers to study the internal logic and mathematical workings of these models through clean, minimal implementations. The codebase focuses on the study of algorithm implementation and machine learning education, providing a way to understand internal mechanics by building components without relying on heavy external libraries. The project utilizes object-oriented encapsulation and NumPy-based vectorization to manage model s
Implementations of common machine learning algorithms from scratch.
Python - rlcode/reinforcement-learning
rlcode/reinforcement-learning
3,642Voir sur GitHubMinimal and Clean Reinforcement Learning Examples
Minimal and clean examples of various reinforcement learning algorithms.
Python - shangtongzhang/deeprl
ShangtongZhang/DeepRL
3,428Voir sur GitHubModularized Implementation of Deep RL Algorithms in PyTorch
Deep reinforcement learning algorithms implemented in PyTorch.
Python - chainer/chainerrl
chainer/chainerrl
1,200Voir sur GitHubChainerRL is a deep reinforcement learning library built on top of Chainer.
Deep reinforcement learning algorithms implemented in Chainer.
Python - nivwusquorum/tensorflow-deepq
nivwusquorum/tensorflow-deepq
1,166Voir sur GitHubA deep Q learning demonstration using Google Tensorflow
Demonstration of deep Q-learning using the TensorFlow framework.
Jupyter Notebook - instadeepai/jumanji
instadeepai/jumanji
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
Hardware-accelerated environments for industry-driven research.
Python - yandexdataschool/agentnet
yandexdataschool/AgentNet
Deep Reinforcement Learning library for humans
Library for deep reinforcement learning using Theano and Lasagne.
Python - kaixhin/atari
Kaixhin/Atari
Persistent advantage learning dueling double DQN for the Arcade Learning Environment
Deep Q-networks and asynchronous agents implemented in Torch.
Lua - resibots/blackdrops
resibots/blackdrops
Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018
Modular code for model-based policy search algorithms.
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