Pinned Repositories
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
RL-Solutions
强化学习第二版习题解答与代码案例 Solutions and codes for Reinforcement Learning second edition
StarCraft
Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
apollo
An open autonomous driving platform
asynchronous_impala_PPO
Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation
cmake-examples
Useful CMake Examples
CPlusPlusThings
C++那些事
Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
yang970901's Repositories
yang970901/MAgent2
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
yang970901/cmake-examples
Useful CMake Examples
yang970901/apollo
An open autonomous driving platform
yang970901/tianshou
An elegant PyTorch deep reinforcement learning library.
yang970901/PythonRobotics
Python sample codes for robotics algorithms.
yang970901/dig-into-apollo
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
yang970901/PythonCall.jl
Python and Julia in harmony.
yang970901/pysc2
StarCraft II Learning Environment
yang970901/Operating-Systems-Three-Easy-Pieces-NOTES
操作系统导论(ostep)笔记/课后习题答案/附加代码
yang970901/multi-agent-emergence-environments
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
yang970901/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
yang970901/easy-rl
强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/
yang970901/CPlusPlusThings
C++那些事
yang970901/example-code
Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)
yang970901/Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
yang970901/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
yang970901/RL-Solutions
强化学习第二版习题解答与代码案例 Solutions and codes for Reinforcement Learning second edition
yang970901/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
yang970901/asynchronous_impala_PPO
Multi-Agent Deep Reinforcement Learning by using Asynchronous & Impala Proximal Policy Optimization in Pytorch with some explanation
yang970901/StarCraft
Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
yang970901/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
yang970901/mujoco-worldgen
Automatic object XML generation for Mujoco
yang970901/Python-100-Days
Python - 100天从新手到大师