Reinforcement learning in python

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

A project template to simplify building and training deep learning models using Keras.

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Applying the deep learning techniques from Alpha Go to play tic-tac-toe

Neural network/Back Propagation implemented from scratch for MNIST.从零开始实现神经网络和反向传播算法，识别MNIST

TensorFlow implementation of Deep Reinforcement Learning papers

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

Teacher-Student Curriculum Learning code

Tensorflow implementation of generative adversarial imitation learning

Minimalistic AlphaGoZero-like Engine

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …

A Pong game in Python 3

Keras implementation of DQN on ViZDoom environment

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

[파이썬과 케라스로 배우는 강화학습] 예제

Reinforcement Learning for Portfolio Management

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.