Course Info | IEOR 8100
web.archive.org · 813 words · saved by 2 readers
Reinforcement Learning
The Wayback Machine - https://web.archive.org/web/20200829211146/https://ieor8100.github.io/rl/ Syllabus Lecture schedule: Mudd 303 Monday 11:40-12:55pm Instructor: Shipra Agrawal Instructor Office Hours: Wednesdays from 3:00pm-4:00pm, Mudd 423 TA: Robin (Yunhao) Tang TA Office Hours: 3:30-4:30pm Tuesday at MUDD 301 Upcoming deadlines (New) Poster session on Monday May 6 from 10am - 1pm in the DSI space on 4th floor. you do not need to print actual "posters", you can print slides (9-12) and put them on the easel we will provide. participating poster session is mandatory - at least…
saved by
related reading
- info21a.pdfweb.mit.edu
- RLHF & Post-Training Course by Nathan Lambertrlhfbook.com
- Home1five9.github.io
- Fall 2026boazbk.github.io
- GitHub - MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning: This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."github.com
- Debugging Reinforcement Learning Systemsandyljones.com
- An Introduction to Reinforcement Learningrlbook.adzc.ai
- Deep RL Bootcamp - Lecturessites.google.com
- Syllabuscs230.stanford.edu
- Tips for self-study and independent research | Andy Konwinskiandykonwinski.com
- ML Mentorship: Some Q/A about RLevjang.com
- GitHub - alxndrTL/little-book-rl: The Little Book of Reinforcement Learninggithub.com