多智能体强化学习（1）：Curriculum Learning相关整理

Veritas的学习记录
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论文搜索网址：

Paper Digest

Venues | OpenReview

课程学习：

  1. 知乎：课程学习邂逅多智能体强化学习
  2. 课程学习论文列表：linzehui/Curriculum-Learning-PaperList-Materials: Curriculum Learning related papers and materials (github.com)
  3. 不同地形四足机器人的课程学习：DavidePaglieri/Open_Ended_CL: Part of the source code of the Master's project 'Open-Ended Curriculum Learning for Dynamic Robot Locomotion' by Davide Paglieri at Imperial College London. (github.com)
  4. 课程学习笔记：Curriculum for Reinforcement Learning (lilianweng.github.io)
  5. 机械臂sim2real课程学习：harry-uglow/Curriculum-Reinforcement-Learning: Novel Reinforcement Learning method for tackling goal-oriented robotics tasks with obstacles. (github.com)

MARL：

  1. 资源收集：TimeBreaker/MARL-resources-collection: A Collection of Multi-Agent Reinforcement Learning (MARL) Resources (github.com)
  2. 有开源的论文：TimeBreaker/MARL-papers-with-code: Multi-Agent Reinforcement Learning (MARL) papers with code (github.com)
  1. MARL论文：TimeBreaker/Multi-Agent-Reinforcement-Learning-papers: Multi-Agent Reinforcement Learning (MARL) papers (github.com)
  2. ICLR 2020 多智能体强化学习论文总结rockray21的博客-CSDN博客多智能体强化学习论文
  3. MADDPG算法代码分析（tensorflow）
  4. 使用Pytorch在StarCraft II 星际争霸2上实现多智能体强化学习算法
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