Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
强化学习教程 | RL Tutorials:
- 《深度强化学习》王树森: https://www.bilibili.com/video/BV12o4y197US
- 《Deep Reinforcement Learning》李宏毅: https://www.bilibili.com/video/BV1UE411G78S
- 《世界冠军带你从零实践强化学习》百度飞桨团队: https://www.bilibili.com/video/BV1yv411i7xd
- 《强化学习白板推导》:https://space.bilibili.com/97068901/channel/seriesdetail?sid=594040
- 《蘑菇书EasyRL》王琦等: https://github.com/datawhalechina/easy-rl
- 《动手学强化学习》张伟楠等: http://hrl.boyuai.com/
强化学习开源项目 | RL Open Source Projects:
- PFRL:基于Pytorch的深度强化学习库: https://github.com/pfnet/pfrl
- 莫烦强化学习TensorFlow代码: https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow
- 百度飞桨PaddlePaddle强化学习代码: https://github.com/PaddlePaddle/PARL
- Github强大的强化学习库: https://github.com/wwxFromTju/awesome-reinforcement-learning-lib
- 优达学城(在线教育平台)强化学习库: https://github.com/udacity/deep-reinforcement-learning
强化学习顶级学术会议:
- [AAAI] AAAI Conference on Artificial Intelligence, AAAI. (CCF-A会议)
- [IJCAI] International Joint Conference on Artificial Intelligence, IJCAI. (CCF-A会议)
- [ICML] International Conference on Machine Learning, ICML.(CCF-A会议)
- [NeurIPS] Annual Conference on Neural Information Processing Systems, NeurIPS. (CCF-A会议)
- [AAMAS] International Joint Conference on Autonomous Agents and Multi-agent Systems, AAMAS. (CCF-A会议)
- [ICLR] International Conference on Learning Representations, ICRA. (CCF-A会议)
- [ICRA] IEEE International Conference on Robotics and Automation, ICRA. (CCF-A会议)
- 强化学习顶会文章合集:https://github.com/Allenpandas/Awesome-Reinforcement-Learning-Papers
强化学习社区 | RL Community:
- RLChina强化学习社区: http://rlchina.org/
- 智源社区强化学习专栏: https://hub.baai.ac.cn/?tag_id=74
- 智源社区强化学习周刊: https://hub.baai.ac.cn/users/18447
强化学习学术团队(国内) | RL Academic Team(Home):
- 张海峰(中科院自动化所):https://people.ucas.edu.cn/~zhf (多智能体强化学习、智能体博弈、智能体评估)
- 杨耀东(北大·人工智能研究院):https://www.yangyaodong.com/ (多智能体强化学习、博弈论)
- 卢宗青(北大·人工智能研究院):https://z0ngqing.github.io/ (强化学习)
- 张崇洁(清华大学·跨学科信息科学研究所):http://people.iiis.tsinghua.edu.cn/~zhang/ (深度强化学习、多智能体系统)
- 俞扬(南京大学·人工智能学院): https://www.yuque.com/eyounx/home (强化学习、离线强化学习)
- 郝建业(天津大学·深度强化学习实验室): http://www.icdai.org/jianye.html (多智能体强化学习、博弈论)
- 王祥丰(华师大·多智能体人工智能实验室): https://mail-ecnu.cn/people/xfwang (多智体强化学习)
- 罗军(华为诺亚方舟实验室):https://openreview.net/profile?id=~Jun_Luo1 (自动驾驶、强化学习)
强化学习学术团队(国外) | RL Academic Team(Abroad):
- Piter Abbeel(加州伯克利·机器人学习实验室):http://people.eecs.berkeley.edu/~pabbeel/ | http://rll.berkeley.edu/ (强化学习、机器人)
- Jun Wang(伦敦大学·人工智能中心):http://www0.cs.ucl.ac.uk/staff/jun.wang/ (多智能体强化学习)
- Bo An(新加坡南洋理工大学):https://personal.ntu.edu.sg/boan/index.html (多智能体系统、博弈论)
- Richard S. Sutton(DeepMind):http://incompleteideas.net/
- David Silver(DeepMind):https://www.davidsilver.uk/
- Satinder Singh(密歇根大学):https://web.eecs.umich.edu/~baveja/
- Peter Stone(德克萨斯大学):https://www.cs.utexas.edu/~pstone/
- Sergey Levine(加州伯克利):https://people.eecs.berkeley.edu/~svlevine/