Also, check out this great lecture on the history of reinforcement learning by Professor Andrew Barto:
https://www.youtube.com/watch?v=-gQNM7rAWP0
https://www.youtube.com/watch?v=-gQNM7rAWP0
YouTube
Andy Barto - In the Beginning ML was RL - RLC 2024
Edited by Gor Baghdasaryan
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📣 Important Updates Based on Your Feedback
Thank you for sharing your thoughts—we’ve listened carefully! Here's what’s new:
Communication: Telegram and Quera will be our main channels (X will be extra).
Q&A Platform: The Telegram Group will now serve as the primary space for your questions and discussions.
Policy Update: The flat reduction policy window has been shifted from 1 AM to 3 AM.
Class Capacity: If the current capacity remains unchanged, we’ll make every effort to move sessions to a larger venue. We sincerely apologize to those who couldn't attend due to limited seating.
Thank you for sharing your thoughts—we’ve listened carefully! Here's what’s new:
Communication: Telegram and Quera will be our main channels (X will be extra).
Q&A Platform: The Telegram Group will now serve as the primary space for your questions and discussions.
Policy Update: The flat reduction policy window has been shifted from 1 AM to 3 AM.
Class Capacity: If the current capacity remains unchanged, we’ll make every effort to move sessions to a larger venue. We sincerely apologize to those who couldn't attend due to limited seating.
Telegram
Deep RL (Sp25)
🚀 Spring 2025 offering of
🤖 Deep Reinforcement Learning Course
🏫 Sharif University of Technology
🧑🏻🏫 Dr. Mohammad Hossein Rohban
🤐 Anonymous Feedback Form:
🔗 https://forms.gle/snzciPzEbJo698GE8
🌐 https://deeprlcourse.github.io
🤖 Deep Reinforcement Learning Course
🏫 Sharif University of Technology
🧑🏻🏫 Dr. Mohammad Hossein Rohban
🤐 Anonymous Feedback Form:
🔗 https://forms.gle/snzciPzEbJo698GE8
🌐 https://deeprlcourse.github.io
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📣 Important Announcement
The deadline for bachelor students to submit the form is Friday at 11:59 PM ⏰ and we will announce the results before the course Add/Drop process 📅.
✍️ https://forms.gle/Egh3E9drAw29PcNU8
Don't miss the deadline!
The deadline for bachelor students to submit the form is Friday at 11:59 PM ⏰ and we will announce the results before the course Add/Drop process 📅.
✍️ https://forms.gle/Egh3E9drAw29PcNU8
Don't miss the deadline!
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Slides for Lecture 2 are out! Get a head start before the class!
https://deeprlcourse.github.io/lectures/week1/#lecture-2
https://deeprlcourse.github.io/lectures/week1/#lecture-2
deeprlcourse.github.io
Week 1: Introduction to RL - Deep RL Course
This page contains the lecture materials for Week 1 of the Deep Reinforcement Learning course, including video recordings, slides, and summaries.
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Lecture_1_Summary.pdf
673.7 KB
🎓 Summary of Lecture 1 📚
🔗 Quiz Link: https://forms.gle/C7fMroU9outJgiyS6
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
🔗 Quiz Link: https://forms.gle/C7fMroU9outJgiyS6
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
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📣 Important Update
The Recitation and Workshop session for tomorrow will be held online at the scheduled time.
🌐 Join here: https://vc.sharif.edu/ch/rohban-ta 💻
The Recitation and Workshop session for tomorrow will be held online at the scheduled time.
🌐 Join here: https://vc.sharif.edu/ch/rohban-ta 💻
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📺 MohammadHasan Abbasi, the designer of Homework 1, explains the homework for you:
https://www.youtube.com/watch?v=2X_RP9vf_7U
👨🏫 Don't miss the 5 PM workshop to discuss and clarify any questions! See you there!
https://www.youtube.com/watch?v=2X_RP9vf_7U
👨🏫 Don't miss the 5 PM workshop to discuss and clarify any questions! See you there!
YouTube
Homework 1 | Introduction to RL | Spring 25
Presented by MohammadHasan Abbasi
🔗 https://www.linkedin.com/in/mohasabbasi
📂 Access the Homework:
🔗 https://deeprlcourse.github.io/homeworks/week1
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.com/@DeepRLCourse…
🔗 https://www.linkedin.com/in/mohasabbasi
📂 Access the Homework:
🔗 https://deeprlcourse.github.io/homeworks/week1
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.com/@DeepRLCourse…
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🚀 We will be live from 19:45. Join us here:
https://www.youtube.com/watch?v=Y4UZNc4eh4U
🎙 Title: The Increasing Role of Sensorimotor Experience in Artificial Intelligence
👨🏫 Speaker: Rich Sutton (Keen Technologies, University of Alberta, OpenMind Research Institute)
https://www.youtube.com/watch?v=Y4UZNc4eh4U
🎙 Title: The Increasing Role of Sensorimotor Experience in Artificial Intelligence
👨🏫 Speaker: Rich Sutton (Keen Technologies, University of Alberta, OpenMind Research Institute)
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📣 Missed yesterday's talk by Rich Sutton?
No worries! You can watch the full recording here 🤩:
🎥 https://www.youtube.com/watch?v=Y4UZNc4eh4U
No worries! You can watch the full recording here 🤩:
🎥 https://www.youtube.com/watch?v=Y4UZNc4eh4U
YouTube
Richard Sutton | The Increasing Role of Sensorimotor Experience in AI | Feb 12, 2025
Join us for an insightful talk by Richard S. Sutton, one of the pioneers of reinforcement learning, on "The Increasing Role of Sensorimotor Experience in Artificial Intelligence."
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io…
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io…
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📣 Workshop material for Week 1 is available here:
🔗 https://github.com/DeepRLCourse/Workshop-1-Material
🔗 https://github.com/DeepRLCourse/Workshop-1-Material
GitHub
GitHub - DeepRLCourse/Workshop-1-Material
Contribute to DeepRLCourse/Workshop-1-Material development by creating an account on GitHub.
📣 TA Office Hours for This Week Are Set!
You can check the schedule on the calendar here:
🔗 https://deeprlcourse.github.io/home/calender
The sessions are online via Google Meet, and the request submission link is available in the denoscription.
Don't miss this opportunity to get help with this week's material or any challenges you're facing with the homework! 💡📚
You can check the schedule on the calendar here:
🔗 https://deeprlcourse.github.io/home/calender
The sessions are online via Google Meet, and the request submission link is available in the denoscription.
Don't miss this opportunity to get help with this week's material or any challenges you're facing with the homework! 💡📚
deeprlcourse.github.io
Calender - Deep RL Course
This page contains the Google Calendar for the Deep Reinforcement Learning course, including weekly lecture times, assignment deadlines, and other important events.
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📣 Video of Workshop 1 is Out!
🎥 https://www.youtube.com/watch?v=50fZWSWoU6Y
🎥 https://www.youtube.com/watch?v=50fZWSWoU6Y
YouTube
Workshop 1 | Introduction to RL | Spring 25
Presented by MohammadHasan Abbasi
🔗 https://www.linkedin.com/in/mohasabbasi
📂 Access the Notebook:
🔗 https://deeprlcourse.github.io/workshops/week1
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.com/@DeepRLCourse…
🔗 https://www.linkedin.com/in/mohasabbasi
📂 Access the Notebook:
🔗 https://deeprlcourse.github.io/workshops/week1
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.com/@DeepRLCourse…
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📣 Video of Recitation 1 is Out!
🎥 https://www.youtube.com/watch?v=N4KbDBf-omk
🎥 https://www.youtube.com/watch?v=N4KbDBf-omk
YouTube
Recitation 1 | Introduction to RL | Spring 25
Presented by Arash Alikhani
🔗 https://x.com/infinity2357_
📂 Access the Slides:
🔗 https://deeprlcourse.github.io/recitations/week1
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.com/@DeepRLCourse
🐦 https…
🔗 https://x.com/infinity2357_
📂 Access the Slides:
🔗 https://deeprlcourse.github.io/recitations/week1
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.com/@DeepRLCourse
🐦 https…
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📣 Screen record of Lecture 2 is Out!
🎥 https://www.youtube.com/watch?v=wdCC6-Kxxv4
🎥 https://www.youtube.com/watch?v=wdCC6-Kxxv4
YouTube
Lecture 2 | Introduction to RL | Spring 25 (Screen Record)
Welcome to the second lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we continue to dive into the basics of reinforcement learning 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week1…
In this session, we continue to dive into the basics of reinforcement learning 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week1…
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📣 Final Video of Lecture 1 is Out!
🎥 https://www.youtube.com/watch?v=05s_HwRbVIE
🎥 https://www.youtube.com/watch?v=05s_HwRbVIE
YouTube
Lecture 1 | Introduction to RL | Spring 25
Welcome to the very first lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we dive into the basics of reinforcement learning 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week1
Stay…
In this session, we dive into the basics of reinforcement learning 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week1
Stay…
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📣 Final Video of Lecture 2 is Out!
🎥 https://www.youtube.com/watch?v=mKZcfDnoSoA
🎥 https://www.youtube.com/watch?v=mKZcfDnoSoA
YouTube
Lecture 2 | Introduction to RL | Spring 25
Welcome to the second lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we continue to dive into the basics of reinforcement learning 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week1…
In this session, we continue to dive into the basics of reinforcement learning 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week1…
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📣 Website Updated with This Week’s Material!
You can access the latest content here:
🔗 https://deeprlcourse.github.io
Stay on track and keep learning! 🚀📚
You can access the latest content here:
🔗 https://deeprlcourse.github.io
Stay on track and keep learning! 🚀📚
deeprlcourse.github.io
Welcome - Deep RL Course
Welcome to Spring 2025 offering of Deep Reinforcement Learning course at Sharif University of Technology! We are excited to have you join us on this journey into the world of deep reinforcement learning.
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