ZHQ-air

Awesome-Decision-Making-Reinforcement-Learning

A selection of state-of-the-art research materials on decision making and motion planning.

dapo

Source code for the paper "Divergence-Augmented Policy Optimization"

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

DL_RL_Zoo

Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".

dspg

EGO-Planner-v2

Swarm Playground, the codebase of the paper "Swarm of micro flying robots in the wild"

Go_to_AI

HDDPG-HER-RND

Hierachichal DDPG + Hindsight Experience Replay + Random Network Distillation

icra2017-visual-navigation

Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

matlab_px4_msf

ZHQ-air/matlab_px4_msf

ZHQ-air/Awesome-Decision-Making-Reinforcement-Learning

A selection of state-of-the-art research materials on decision making and motion planning.

ZHQ-air/dapo

Source code for the paper "Divergence-Augmented Policy Optimization"

ZHQ-air/Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

ZHQ-air/DL_RL_Zoo

Lightweight, stable, efficient PyTorch implement of reinforcement learning. I want to call this PyTorch implement as "3-Python-file-RL".

ZHQ-air/dspg

ZHQ-air/EGO-Planner-v2

Swarm Playground, the codebase of the paper "Swarm of micro flying robots in the wild"

ZHQ-air/Go_to_AI

ZHQ-air/HDDPG-HER-RND

Hierachichal DDPG + Hindsight Experience Replay + Random Network Distillation

ZHQ-air/large-scale-curiosity

Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

ZHQ-air/machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

ZHQ-air/mini-AlphaStar

A mini-source reproduction code of the AlphaStar program which is an AI proposed by DeepMind to play StarCraft II.

ZHQ-air/MountainCar_DQN_RND

Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)

ZHQ-air/pymarl

Python Multi-Agent Reinforcement Learning framework

ZHQ-air/pysc2

StarCraft II Learning Environment

ZHQ-air/pysc2-rl-agents

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

ZHQ-air/pysc2-rl-mini

StarCraft II Reinforcement Learning with Pytorch - Mini Games

ZHQ-air/random-network-distillation

Code for the paper "Exploration by Random Network Distillation"

ZHQ-air/random-network-distillation-pytorch

Random Network Distillation pytorch

ZHQ-air/ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

ZHQ-air/reinmav-gym

Reinforcement Learning framework for MAVs using the OpenAI Gym environment

ZHQ-air/RL-Project

ZHQ-air/RL_pysc2

Reinforcement learning for starcraft2 with pytorch

ZHQ-air/rllabplusplus

ZHQ-air/RND-Pytorch

Random Network Distillation(RND) algo in Pytorch

ZHQ-air/sarl_star

SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.

ZHQ-air/SC2AI

星际2 AI中文教程 StarCraft2 AI with python-sc2/pysc2 API

ZHQ-air/self-imitation-learning-pytorch

This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.

ZHQ-air/starcraft-reinforcement-learning

Reinforcement learning on starcraft using pysc2.

ZHQ-air/tsallis_actor_critic_mujoco

Implementation of Tsallis Actor Critic method