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dreamersurpass's Projects
alphastar_implementation
This project is implementation code of AlphaStar
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
deep-reinforcement-learning-hands-on-second-edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
drl-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
genetic-unity
A framework to train agents in a Unity environment using a genetic algorithm
hierarchical-actor-critc-hac-
This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
hierarchical-actor-critic-hac-pytorch
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
hierarchical_il_rl
Code for hierarchical imitation learning and reinforcement learning
mini-alphastar
A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.
ml-agents
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 learning and imitation learning.
mlsh
Code for the paper "Meta-Learning Shared Hierarchies"
pysc2
StarCraft II Learning Environment
tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
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