jingjingchen018's repositories
Reinforcement-Learning
theory and algorithms of RL
Artificial-Intelligence
Include ML DL RL, knowledge and code
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
exercises_thushv_dot_com
Here lies all the exercises I implement and share in my website
pyTSP
A 2D/3D visualization of the Traveling Salesman Problem main heuristics
Rainbow
Rainbow: Combining Improvements in Deep Reinforcement Learning
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.
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)