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diffusion-policies-for-offline-rl

distribuuuu

The pure and clear PyTorch Distributed Training Framework.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

elegantrl

Cloud-native Deep Reinforcement Learning. Please star. 🔥

ensemble-dqn

evolutionary-algorithm

Evolutionary Algorithm using Python

finrl

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

fpga_feedforward-neural-network_for_qubit_discrimination

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gensim

Topic Modelling for Humans

git

glints-detection

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hpc_beginning_workshop

huskarl

Deep Reinforcement Learning Framework + Algorithms

imcl-nips

interpretable-ml-book

Book about interpretable machine learning

introcmdline

ion-trap-tomography-experiment

ion-trap-tomography-simulation

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

learning_note

A collection of my learning notes

machine_learning_basic_algorithms-pytorch

Pytorch based codes. Implementations of most popular algorithms at present.

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

marathon-envs

A set of high-dimensional continuous control environments for use with Unity ML-Agents Toolkit.

marl_tf

A simple OpenAI Gym environment for single and multi-agent reinforcement learning

marl_torch

mars

MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.

mdp

Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

meta-learning-for-reinforcement-learning