π£ Screen Record of Lecture 12 is Out!
π₯ https://www.youtube.com/watch?v=op99GX-1vSI
π₯ 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! π
In this session, we continue to dive into the Multi-Armed Bandits π€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week6
Stay Connected:β¦
In this session, we continue to dive into the Multi-Armed Bandits π€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week6
Stay Connected:β¦
π£ Feedback Form for Lecture 12
π https://forms.gle/hNJvtZvS6dfmUj6w7
β° Deadline: Mar 23, 12 Midnight
π https://forms.gle/hNJvtZvS6dfmUj6w7
β° Deadline: Mar 23, 12 Midnight
π1
π£ Ramtin Moslemi, one of the designers of Homework 5, explains the homework for you:
π₯ https://www.youtube.com/watch?v=rUBBmLP1Rdg
π₯ https://www.youtube.com/watch?v=rUBBmLP1Rdg
YouTube
Homework 5 | Model-Based Methods | Spring 25
Presented by Ramtin Moslemi
π https://www.linkedin.com/in/ramtin-m
π Access the Homework:
π https://deeprlcourse.github.io/homeworks/week5
Stay Connected:
βοΈ deeprlcourse@gmail.com
π https://deeprlcourse.github.io
πΊ https://www.youtube.com/@DeepRLCourseβ¦
π https://www.linkedin.com/in/ramtin-m
π Access the Homework:
π https://deeprlcourse.github.io/homeworks/week5
Stay Connected:
βοΈ deeprlcourse@gmail.com
π https://deeprlcourse.github.io
πΊ https://www.youtube.com/@DeepRLCourseβ¦
β€2
π£ Website Updated with Last 2 Weekβs Material!
β Lecture Materials for Week 5 & 6
β Course Notes for Week 3
β Workshop Video of Week 5 & 6
β Recitation Video of Week 5 & 6
β Recitation Materials for week 3-6
β Slides for Professor Foerster talk
π https://deeprlcourse.github.io
β Lecture Materials for Week 5 & 6
β Course Notes for Week 3
β Workshop Video of Week 5 & 6
β Recitation Video of Week 5 & 6
β Recitation Materials for week 3-6
β Slides for Professor Foerster talk
π 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.
β€13
Deep RL (Sp25)
π£ Website Updated with Last 2 Weekβs Material! β
Lecture Materials for Week 5 & 6 β
Course Notes for Week 3 β
Workshop Video of Week 5 & 6 β
Recitation Video of Week 5 & 6 β
Recitation Materials for week 3-6 β
Slides for Professor Foerster talk π https:β¦
β
Final Video of Lectures 9 & 10 are also out!
π£ Homework 6 is out!
β° Deadline: Apr 6 (Ϋ±Ϋ· ΩΨ±ΩΨ±Ψ―ΫΩ) 11:59 PM (+3 Extra Days Until Hard Deadline!)
π https://deeprlcourse.github.io/homeworks/week6
β° Deadline: Apr 6 (Ϋ±Ϋ· ΩΨ±ΩΨ±Ψ―ΫΩ) 11:59 PM (+3 Extra Days Until Hard Deadline!)
π 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.
π4π2
π£ Mohammad Mohammadi, one of the designers of Homework 6, explains the homework for you:
π₯ https://www.youtube.com/watch?v=0i6zmVU7mj0
π₯ https://www.youtube.com/watch?v=0i6zmVU7mj0
YouTube
Homework 6 | Multi-Armed Bandits | Spring 25
Presented by Mohammad Mohammadi
π https://www.linkedin.com/in/mohammadmohammadi97
π Access the Homework:
π https://deeprlcourse.github.io/homeworks/week6
Stay Connected:
βοΈ deeprlcourse@gmail.com
π https://deeprlcourse.github.io
πΊ https://www.youtube.cβ¦
π https://www.linkedin.com/in/mohammadmohammadi97
π Access the Homework:
π https://deeprlcourse.github.io/homeworks/week6
Stay Connected:
βοΈ deeprlcourse@gmail.com
π https://deeprlcourse.github.io
πΊ https://www.youtube.cβ¦
π«‘1
π£ Quiz Solutions Now Available!
β‘οΈ Check them out in the Lectures section.
π https://deeprlcourse.github.io
β‘οΈ Check them out in the Lectures section.
π 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.
π₯4β€2
Lecture_12_Summary.pdf
402.3 KB
π Summary of Lecture 12 π
π Quiz Link: https://forms.gle/h4k9ETs8PCT62TDx6
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
π Quiz Link: https://forms.gle/h4k9ETs8PCT62TDx6
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
π1π1
π£ Screen Record of Lecture 13 is Out!
π₯ https://www.youtube.com/watch?v=mc6MTlxPePE
π₯ 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! π
In this session, we dive into the Value-Based Theoryπ€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week7
Stay Connected:
βοΈ deβ¦
In this session, we dive into the Value-Based Theoryπ€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week7
Stay Connected:
βοΈ deβ¦
β€1
π£ Course Notes for <Week 4: Advanced Methods> are Out!
π https://deeprlcourse.github.io/course_notes/advanced
π 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 theoreticalβ¦
β€2
π£ Midterm Q&A Session with Prof. Rohban
Weβll 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!
π Date: Tuesday
π§ Time: 12:30 β 1:15 PM
π¨βπ« Host: Prof. Mohammad Hossein Rohban
Make sure to join! π
Weβll 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!
π Date: Tuesday
π§ Time: 12:30 β 1:15 PM
π¨βπ« Host: Prof. Mohammad Hossein Rohban
Make sure to join! π
β€6π1
Lecture_13_Summary.pdf
258.7 KB
π Summary of Lecture 13 π
π Quiz Link: https://forms.gle/8ve6qcc41f4VSwceA
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
π Quiz Link: https://forms.gle/8ve6qcc41f4VSwceA
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
β€2π«‘1
Deep RL (Sp25)
π£ Midterm Q&A Session with Prof. Rohban Weβll 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 chanceβ¦
π£ This session will be held in Class 201 of the CE Department
β€4
π£ Homework 7 is out!
β° Deadline: May 11 (Ϋ²Ϋ± Ψ§Ψ±Ψ―ΫΨ¨ΩΨ΄Ψͺ) 11:59 PM
π https://deeprlcourse.github.io/homeworks/week7
β° Deadline: May 11 (Ϋ²Ϋ± Ψ§Ψ±Ψ―ΫΨ¨ΩΨ΄Ψͺ) 11:59 PM
π https://deeprlcourse.github.io/homeworks/week7
deeprlcourse.github.io
HW7: Value-Based Theory - Deep RL Course
This page contains the homework assignment for Week 7 of the Deep Reinforcement Learning course, focusing on Value-Based Theory.
π«‘2β€1
π£ Ghazal Hosseini, one of the designers of Homework 7, explains the homework for you:
π₯ https://www.youtube.com/watch?v=jcVc3TXnK6I
π₯ https://www.youtube.com/watch?v=jcVc3TXnK6I
YouTube
Homework 7 | Value-Based Theory | Spring 25
Presented by Ghazal Hosseini
π https://www.linkedin.com/in/ghazal-hosseini-mighan-8b911823a
π Access the Homework:
π https://deeprlcourse.github.io/homeworks/week7
Stay Connected:
βοΈ deeprlcourse@gmail.com
π https://deeprlcourse.github.io
πΊ https://wwwβ¦
π https://www.linkedin.com/in/ghazal-hosseini-mighan-8b911823a
π Access the Homework:
π https://deeprlcourse.github.io/homeworks/week7
Stay Connected:
βοΈ deeprlcourse@gmail.com
π https://deeprlcourse.github.io
πΊ https://wwwβ¦
β€2