zachary2wave / DeepLearning-500-questionsLinks
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18个章节,50余万字。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
☆12Updated 6 years ago
Alternatives and similar repositories for DeepLearning-500-questions
Users that are interested in DeepLearning-500-questions are comparing it to the libraries listed below
Sorting:
- Tutorial for Reinforcement Learning☆188Updated 3 years ago
- 一些利用pytorch编程实现的强化学习例子☆36Updated 6 years ago
- RL algorithms☆142Updated 4 years ago
- Pytorch for Deep Reinforcement Learning☆251Updated 5 years ago
- Reinforcement-Learning-Notes, start with MDP.☆224Updated 2 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆52Updated 5 years ago
- 多智能体强化学习☆101Updated 6 years ago
- 多智能体强化学习(MARL)算法复现,包括QMIX,VDN,QTRAN、MAVEN等等☆206Updated 3 years ago
- [动手学强化学习]系列,基于pytorch。☆57Updated 4 years ago
- My DRL library with tensorflow1.14 based on openai spinning-up☆63Updated 4 years ago
- ☆14Updated 4 years ago
- Pytorch realization of multiple Deep Reinforcement Learning alogrithms(DQN,DDPG,TD3,PPO,A3C...) with openai gym☆56Updated 4 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆20Updated 3 years ago
- 利用sumo作为仿真平台,采用强化学习中的DQN进行交通信号灯相位时间的调整☆53Updated 6 years ago
- 本项目以一个可视化配置的、以AgentRL为核心的强化学习框架,实现30分钟上手AgentRL 编程。后续增加AgentRL和本地Agent、MCP、A2A相关特性。☆76Updated 2 months ago
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆28Updated 5 years ago
- Solve BipedalWalkerHardcore-v2 with TD3☆91Updated 2 years ago
- DDPG in Pytorch☆45Updated 3 years ago
- ☆24Updated 4 years ago
- D3QN implementation using pytorch☆15Updated 4 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆103Updated 3 years ago
- D3QN Pytorch☆62Updated 3 years ago
- ☆62Updated last year
- A collection of multi agent environments based on OpenAI gym.☆28Updated last year
- my code for paper Parameterized-DQN☆23Updated 4 years ago
- 《强化学习-原理与Python实现》的Pytorch实现。☆62Updated 4 years ago
- 在PyTorch上重构multi-agent deep deterministic policy gradient(MADDPG),将https://github.com/xuemei-ye/maddpg-mpe 修改到自己电脑上可运行。因为本人笔记本没有CUDA,实验速度…☆13Updated 6 years ago
- Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch☆305Updated 5 years ago
- 真-极简强化学习(基于torch的强化学习框架pfrl)☆88Updated 3 years ago
- Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]☆313Updated 2 years ago