RL-materials

The repository related to the useful courses/links and my drafts regarding Reinforcement Learning, that should be visited and viewed.

1. Specialization related to RL : https://www.coursera.org/specializations/reinforcement-learning
2. Advanced course related to RL : https://www.coursera.org/learn/practical-rl?
3. Book related to RL : https://d3c33hcgiwev3.cloudfront.net/Ph9QFZnEEemRfw7JJ0OZYA_808e8e7d9a544e1eb31ad11069d45dc4_RLbook2018.pdf?Expires=1598745600&Signature=EB2ZRyquh1GrNGkoNcjN~u4u3Fz3xq-RqB0mDg2EP0~AaNqLLZsA2LBM72nIZjIWPvkVEX0iI7SXff~5FZV0lyiZtRljVW4UbnuRn9z4OjXPRBXzF~sZQUabUcfzDlYo20War65PugTdHCY8ZwZLx9UmczKIyYMcs4dHFa6txzg_&Key-Pair-Id=APKAJLTNE6QMUY6HBC5A
4. UCU 2020 RL lectures : https://www.youtube.com/watch?v=ETpHy-eFG_k
5. Deep learning with RL course (cs285 from Berkely) : https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A
6. Standford RL course (cs234) : https://www.youtube.com/playlist?list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u

Made presentation: https://docs.google.com/presentation/d/1BgTxsfrUVpibuop2N5NIgB7nmT1V-0Bj4LgZSIGZ1Yg/edit?usp=sharing