文章目录
- 1.顶会目录
- 2.视频教程
- 3.交流社区
- 4.开源项目
1.顶会目录
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AAAI(AAAI Conference on Artificial Intelligence, AAAI),地址:http://dblp.uni-trier.de/db/conf/aaai/
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IJCAI(International Joint Conference on Artificial Intelligence, IJCAI),地址: http://dblp.uni-trier.de/db/conf/ijcai/
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ICML(International Conference on Machine Learning, ICML),地址: http://dblp.uni-trier.de/db/conf/icml/
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NeurIPS(Annual Conference on Neural Information Processing Systems),地址: http://dblp.uni-trier.de/db/conf/nips/
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AAMAS(International Joint Conference on Autonomous Agents and Multi-agent Systems), 地址: http://dblp.uni-trier.de/db/conf/atal/index.html
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ICLR( International Conference on Learning Representations, ICRA),地址: https://iclr.cc/
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ICRA(IEEE International Conference on Robotics and Automation),地址:http://dblp.uni-trier.de/db/conf/icra/
2.视频教程
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《深度强化学习》 | 王树森,地址:https://www.bilibili.com/video/BV12o4y197US
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《Deep Reinforcement Learning》 | 李宏毅, 地址:https://www.bilibili.com/video/BV1UE411G78S
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《世界冠军带你从零实践强化学习》 | 百度飞桨团队, 地址: https://www.bilibili.com/video/BV1yv411i7xd
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《强化学习白板推导》,地址:https://space.bilibili.com/97068901/channel/seriesdetail?sid=594040
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《蘑菇书EasyRL》 | 王琦等,地址:https://github.com/datawhalechina/easy-rl
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《动手学强化学习》 | 张伟楠等, 地址:http://hrl.boyuai.com/
3.交流社区
- RLChina强化学习社区,地址:http://rlchina.org/
- 智源社区强化学习专栏,地址:https://hub.baai.ac.cn/?tag_id=74
- 智源社区强化学习周刊,地址:https://hub.baai.ac.cn/users/18447
4.开源项目
- PFRL:基于Pytorch的深度强化学习库,地址:https://github.com/pfnet/pfrl
- 莫烦强化学习TensorFlow代码,地址:https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow
- 百度飞桨PaddlePaddle强化学习代码,地址:https://github.com/PaddlePaddle/PARL
- Github强大的强化学习库,地址: https://github.com/wwxFromTju/awesome-reinforcement-learning-lib
- 优达学城(在线教育平台)强化学习库,地址:https://github.com/udacity/deep-reinforcement-learning