Deep RL (Sp25)
📣 Homework 4 Deadline Extension The deadline for Homework 4 has been extended to Tuesday, March 18 (۲۸ اسفند) at 11:59 PM. 🚀 ⚠️ This is a hard deadline, and no further extensions will be granted! Make sure to submit your work on time! ⏳
📣 You may submit up to 2 extra days after the deadline (Mar 20 at 11:59 PM), however late submissions will incur a penalty!
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📣 Homework 5 is out!
⏰ Deadline: Mar 28 (۸ فروردین) 11:59 PM
🌐 https://deeprlcourse.github.io/homeworks/week5
⏰ Deadline: Mar 28 (۸ فروردین) 11:59 PM
🌐 https://deeprlcourse.github.io/homeworks/week5
deeprlcourse.github.io
HW5: Model-Based Methods - Deep RL Course
This page contains the homework assignment for Week 5 of the Deep Reinforcement Learning course, focusing on Model-Based Methods.
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📣 Today's Class is Online Only
You can join online from this address:
🖥 https://vc.sharif.edu/ch/rohban
You can join online from this address:
🖥 https://vc.sharif.edu/ch/rohban
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📣 Screen Record of Lecture 12 is Out!
🎥 https://www.youtube.com/watch?v=op99GX-1vSI
🎥 https://www.youtube.com/watch?v=op99GX-1vSI
YouTube
Lecture 12 | Multi-Armed Bandits | Spring 25 (Screen Record)
Welcome to the 12th lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we continue to dive into the Multi-Armed Bandits 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week6
Stay Connected:…
In this session, we continue to dive into the Multi-Armed Bandits 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week6
Stay Connected:…
📣 Ramtin Moslemi, one of the designers of Homework 5, explains the homework for you:
🎥 https://www.youtube.com/watch?v=rUBBmLP1Rdg
🎥 https://www.youtube.com/watch?v=rUBBmLP1Rdg
YouTube
Homework 5 | Model-Based Methods | Spring 25
Presented by Ramtin Moslemi
🔗 https://www.linkedin.com/in/ramtin-m
📂 Access the Homework:
🔗 https://deeprlcourse.github.io/homeworks/week5
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.com/@DeepRLCourse…
🔗 https://www.linkedin.com/in/ramtin-m
📂 Access the Homework:
🔗 https://deeprlcourse.github.io/homeworks/week5
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.com/@DeepRLCourse…
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📣 Website Updated with Last 2 Week’s Material!
✅ Lecture Materials for Week 5 & 6
✅ Course Notes for Week 3
✅ Workshop Video of Week 5 & 6
✅ Recitation Video of Week 5 & 6
✅ Recitation Materials for week 3-6
✅ Slides for Professor Foerster talk
🔗 https://deeprlcourse.github.io
✅ Lecture Materials for Week 5 & 6
✅ Course Notes for Week 3
✅ Workshop Video of Week 5 & 6
✅ Recitation Video of Week 5 & 6
✅ Recitation Materials for week 3-6
✅ Slides for Professor Foerster talk
🔗 https://deeprlcourse.github.io
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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Deep RL (Sp25)
📣 Website Updated with Last 2 Week’s Material! ✅ Lecture Materials for Week 5 & 6 ✅ Course Notes for Week 3 ✅ Workshop Video of Week 5 & 6 ✅ Recitation Video of Week 5 & 6 ✅ Recitation Materials for week 3-6 ✅ Slides for Professor Foerster talk 🔗 https:…
✅ Final Video of Lectures 9 & 10 are also out!
📣 Homework 6 is out!
⏰ Deadline: Apr 6 (۱۷ فروردین) 11:59 PM (+3 Extra Days Until Hard Deadline!)
🌐 https://deeprlcourse.github.io/homeworks/week6
⏰ Deadline: Apr 6 (۱۷ فروردین) 11:59 PM (+3 Extra Days Until Hard Deadline!)
🌐 https://deeprlcourse.github.io/homeworks/week6
deeprlcourse.github.io
HW6: Multi-Armed Bandits - Deep RL Course
This page contains the homework assignment for Week 6 of the Deep Reinforcement Learning course, focusing on Multi-Armed Bandits.
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📣 Mohammad Mohammadi, one of the designers of Homework 6, explains the homework for you:
🎥 https://www.youtube.com/watch?v=0i6zmVU7mj0
🎥 https://www.youtube.com/watch?v=0i6zmVU7mj0
YouTube
Homework 6 | Multi-Armed Bandits | Spring 25
Presented by Mohammad Mohammadi
🔗 https://www.linkedin.com/in/mohammadmohammadi97
📂 Access the Homework:
🔗 https://deeprlcourse.github.io/homeworks/week6
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.c…
🔗 https://www.linkedin.com/in/mohammadmohammadi97
📂 Access the Homework:
🔗 https://deeprlcourse.github.io/homeworks/week6
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.c…
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📣 Quiz Solutions Now Available!
⚡️ Check them out in the Lectures section.
🌐 https://deeprlcourse.github.io
⚡️ Check them out in the Lectures section.
🌐 https://deeprlcourse.github.io
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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Lecture_12_Summary.pdf
402.3 KB
🎓 Summary of Lecture 12 📚
🔗 Quiz Link: https://forms.gle/h4k9ETs8PCT62TDx6
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
🔗 Quiz Link: https://forms.gle/h4k9ETs8PCT62TDx6
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
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📣 Screen Record of Lecture 13 is Out!
🎥 https://www.youtube.com/watch?v=mc6MTlxPePE
🎥 https://www.youtube.com/watch?v=mc6MTlxPePE
YouTube
Lecture 13 | Value-Based Theory | Spring 25 (Screen Record)
Welcome to the 13th lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we dive into the Value-Based Theory🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week7
Stay Connected:
✉️ de…
In this session, we dive into the Value-Based Theory🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week7
Stay Connected:
✉️ de…
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📣 Course Notes for <Week 4: Advanced Methods> are Out!
🌐 https://deeprlcourse.github.io/course_notes/advanced
🌐 https://deeprlcourse.github.io/course_notes/advanced
deeprlcourse.github.io
Week 4: Advanced Methods - Deep RL Course
This page delves into advanced reinforcement learning methods, focusing on actor-critic algorithms such as PPO, DDPG, and SAC. It explores key concepts like Reward-to-Go, Advantage Estimation, and Generalized Advantage Estimation (GAE), providing theoretical…
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📣 Midterm Q&A Session with Prof. Rohban
We’ll be holding a Q&A session with Prof. Rohban this Tuesday from 12:30 to 1:15 PM, focused on questions related to the midterm.
If you have any doubts or need clarification before the exam, this is a great chance to ask!
🗓 Date: Tuesday
🕧 Time: 12:30 – 1:15 PM
👨🏫 Host: Prof. Mohammad Hossein Rohban
Make sure to join! 🚀
We’ll be holding a Q&A session with Prof. Rohban this Tuesday from 12:30 to 1:15 PM, focused on questions related to the midterm.
If you have any doubts or need clarification before the exam, this is a great chance to ask!
🗓 Date: Tuesday
🕧 Time: 12:30 – 1:15 PM
👨🏫 Host: Prof. Mohammad Hossein Rohban
Make sure to join! 🚀
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Lecture_13_Summary.pdf
258.7 KB
🎓 Summary of Lecture 13 📚
🔗 Quiz Link: https://forms.gle/8ve6qcc41f4VSwceA
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
🔗 Quiz Link: https://forms.gle/8ve6qcc41f4VSwceA
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
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