Pinned Repositories
BaRL-SimpleOptions
A small Python package which provides a simple framework for working with Reinforcement Learning Options.
CadPad.Net
2D CAD using WPF & .Net Core 3.0.
ChristDDD
🙌 ASP.NET Core 3.1 应用, 包含 DDD、CQRS、EDA 和ES事件回溯
HRL_DQN
Combination of the Options RL framework and DQNs
LitCAD
A very simple CAD developed by C#.
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
pymarl
Beta code release for Python Multi-Agent Reinforcement Learning framework
pyswarms
A research toolkit for particle swarm optimization in Python
Reinforcement-Learning
Using WoLF (win or learn fast) PHC (policy hill climbing) algorithm to implement stochastic games
ylz241518's Repositories
ylz241518/Tida.CAD
English:Tida.CAD is CAD tool built on .net platform,focusing on highly extensibility,MVVM,high performance.
ylz241518/ylz241518
Config files for my GitHub profile.
ylz241518/ChristDDD
🙌 ASP.NET Core 3.1 应用, 包含 DDD、CQRS、EDA 和ES事件回溯
ylz241518/CadPad.Net
2D CAD using WPF & .Net Core 3.0.
ylz241518/LitCAD
A very simple CAD developed by C#.
ylz241518/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman) 遗传算法、粒子群算法、模拟退火算法、蚁群算法等
ylz241518/pyswarms
A research toolkit for particle swarm optimization in Python
ylz241518/reinforcement-learning-1
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
ylz241518/pymarl
Beta code release for Python Multi-Agent Reinforcement Learning framework
ylz241518/StarCraft
Implementations of QMIX, VDN and COMA on SMAC, corresponding papers are "QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning", "Value-Decomposition Networks For Cooperative Multi-Agent Learning", and "Counterfactual Multi-Agent Policy Gradients".
ylz241518/RLSchool
Excellent Environments for Reinforcement Learning Benchmarking （强化学习环境集）
ylz241518/BaRL-SimpleOptions
A small Python package which provides a simple framework for working with Reinforcement Learning Options.
ylz241518/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
ylz241518/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
ylz241518/Reinforcement-Learning
Using WoLF (win or learn fast) PHC (policy hill climbing) algorithm to implement stochastic games
ylz241518/RL_options
ylz241518/RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
ylz241518/unified-hrl
Unified Model-Free Hierarchical Reinforcement Learning Framework
ylz241518/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
ylz241518/Renewables_Scenario_Gen_GAN
The implementation of scenario generation for renewables production process
ylz241518/HRL_DQN
Combination of the Options RL framework and DQNs