π£ Final Videos of Lectures 13-16 are Out!
π₯ Final Video of Lecture 13
π₯ Final Video of Lecture 14
π₯ Final Video of Lecture 15
π₯ Final Video of Lecture 16
π₯ Final Video of Lecture 13
π₯ Final Video of Lecture 14
π₯ Final Video of Lecture 15
π₯ Final Video of Lecture 16
YouTube
Lecture 13 | Value-Based Theory | Spring 25
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€4π1
Lecture_16_Summary.pdf
255.9 KB
π Summary of Lecture 16 π
π Quiz Link: https://forms.gle/7ZWDQwqeK7hcQksi6
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
π Quiz Link: https://forms.gle/7ZWDQwqeK7hcQksi6
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
β€2
π£ Screen Record of Lecture 17 is Out!
π₯ https://www.youtube.com/watch?v=30fR-w5SC3w
π₯ https://www.youtube.com/watch?v=30fR-w5SC3w
YouTube
Lecture 17 | Advanced Theory | Spring 25 (Screen Record)
Welcome to the 17th lecture of our Spring 2025 Deep RL Course! π
In this session, we dive into the Advanced Theory π€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week9
Stay Connected:
βοΈ deepβ¦
In this session, we dive into the Advanced Theory π€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week9
Stay Connected:
βοΈ deepβ¦
β€1
π Join Nan Jiangβs Talk at Sharif University of Technology
π Title: Rethinking the Theoretical Foundation of Reinforcement Learning
π¨βπ« Speaker: Nan Jiang (Associate Professor, University of Illinois Urbana-Champaign)
π Date: Thursday (Apr 24, 2025)
π Time: 7:00 PM Iran Time
π‘ Sign Up Here: https://forms.gle/KMjp2cGrnWCqSJAh7
@DeepRLCourse
π Title: Rethinking the Theoretical Foundation of Reinforcement Learning
π¨βπ« Speaker: Nan Jiang (Associate Professor, University of Illinois Urbana-Champaign)
π Date: Thursday (Apr 24, 2025)
π Time: 7:00 PM Iran Time
π‘ Sign Up Here: https://forms.gle/KMjp2cGrnWCqSJAh7
@DeepRLCourse
β€4π₯4
π£ Homework 8 is out!
β° Deadline: May 11 (Ϋ²Ϋ± Ψ§Ψ±Ψ―ΫΨ¨ΩΨ΄Ψͺ) 11:59 PM
π https://deeprlcourse.github.io/homeworks/week8
β° Deadline: May 11 (Ϋ²Ϋ± Ψ§Ψ±Ψ―ΫΨ¨ΩΨ΄Ψͺ) 11:59 PM
π https://deeprlcourse.github.io/homeworks/week8
deeprlcourse.github.io
HW8: Policy-Based Theory - Deep RL Course
This page contains the homework assignment for Week 8 of the Deep Reinforcement Learning course, focusing on Policy-Based Theory.
β€2π1
π£ Mahyar Afshinmehr, the designer of Homework 8, explains the homework for you:
π₯ https://www.youtube.com/watch?v=wq2S_jDVRNE
π₯ https://www.youtube.com/watch?v=wq2S_jDVRNE
YouTube
Homework 8 | Policy-Based Theory | Spring 25
Presented by Mahyar Afshinmehr
π https://www.linkedin.com/in/mahyar-afshinmehr
π Access the Homework:
π https://deeprlcourse.github.io/homeworks/week8
Stay Connected:
βοΈ deeprlcourse@gmail.com
π https://deeprlcourse.github.io
πΊ https://www.youtube.com/@DeepRLCourseβ¦
π https://www.linkedin.com/in/mahyar-afshinmehr
π Access the Homework:
π https://deeprlcourse.github.io/homeworks/week8
Stay Connected:
βοΈ deeprlcourse@gmail.com
π https://deeprlcourse.github.io
πΊ https://www.youtube.com/@DeepRLCourseβ¦
π₯4
π£ Website Updated with Materials from the Last Few Weeks!
Slides are now available up to Lecture 18.
Check them out here:
π https://deeprlcourse.github.io
Slides are now available up to Lecture 18.
Check them out here:
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€4
Lecture_17_Summary.pdf
484.7 KB
π Summary of Lecture 17 π
π Quiz Link: https://forms.gle/TTVWdePUGGJywqMw6
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
π Quiz Link: https://forms.gle/TTVWdePUGGJywqMw6
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
β€2
π£ Screen Record of Lecture 18 is Out!
π₯ https://www.youtube.com/watch?v=pf-O9mejzag
π₯ https://www.youtube.com/watch?v=pf-O9mejzag
YouTube
Lecture 18 | Advanced Theory | Spring 25 (Screen Record)
Welcome to the 18th lecture of our Spring 2025 Deep RL Course! π
In this session, we continue to dive into the Advanced Theory π€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week9
Stay Connected:β¦
In this session, we continue to dive into the Advanced Theory π€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week9
Stay Connected:β¦
β€3
π We will be live from 6:55 PM. Join us here:
https://www.youtube.com/@DeepRLCourse
π Title: Rethinking the Theoretical Foundation of Reinforcement Learning
π¨βπ« Speaker: Nan Jiang (Associate Professor, University of Illinois Urbana-Champaign)
https://www.youtube.com/@DeepRLCourse
π Title: Rethinking the Theoretical Foundation of Reinforcement Learning
π¨βπ« Speaker: Nan Jiang (Associate Professor, University of Illinois Urbana-Champaign)
β€5
Lecture_18_Summary.pdf
390.9 KB
π Summary of Lecture 18 π
π Quiz Link: https://forms.gle/XahcK5z9NJNjkhBL8
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
π Quiz Link: https://forms.gle/XahcK5z9NJNjkhBL8
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
β€4
π£ "Policy-Based Theory" Recitation
π Tomorrow (Monday Apr 28th) at 12:00 PM
π§π»βπ« Mahyar Afshinmehr
π¬ Class 402
π§ Donβt miss itβlet's learn and explore together! π‘
π Tomorrow (Monday Apr 28th) at 12:00 PM
π§π»βπ« Mahyar Afshinmehr
π¬ Class 402
π§ Donβt miss itβlet's learn and explore together! π‘
β€4
π£ Website Updated with Materials from the Last Few Weeks!
β Lecture Materials for Week 8 & 9
β Final Video of Lecture 11, 17 & 18
β Recitation Video of Week 7
β Slides for Professor Jiang talk
Slides are now available up to Lecture 19.
Check them out here:
π https://deeprlcourse.github.io
β Lecture Materials for Week 8 & 9
β Final Video of Lecture 11, 17 & 18
β Recitation Video of Week 7
β Slides for Professor Jiang talk
Slides are now available up to Lecture 19.
Check them out here:
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₯5
π£ Screen Record of Lecture 19 is Out!
π₯ https://www.youtube.com/watch?v=CJqyINq_rZY
π₯ https://www.youtube.com/watch?v=CJqyINq_rZY
YouTube
Lecture 19 | Exploration Methods | Spring 25 (Screen Record)
Welcome to the 19th lecture of our Spring 2025 Deep RL Course! π
In this session, we dive into the Exploration Methods π€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week10
Stay Connected:
βοΈβ¦
In this session, we dive into the Exploration Methods π€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week10
Stay Connected:
βοΈβ¦
β€1
Lecture_19_Summary.pdf
365.4 KB
π Summary of Lecture 19 π
π Quiz Link: https://forms.gle/iD4o4VfH5YuQzaEq7
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
π Quiz Link: https://forms.gle/iD4o4VfH5YuQzaEq7
π Deadline: 1:30 PM (before the class)
Stay on track and get it done! π
π₯2
π£ Screen Record of Lecture 20 is Out!
π₯ https://www.youtube.com/watch?v=VAZgALJ663k
π₯ https://www.youtube.com/watch?v=VAZgALJ663k
YouTube
Lecture 20 | Exploration Methods | Spring 25 (Screen Record)
Welcome to the 20th lecture of our Spring 2025 Deep RL Course! π
In this session, we continue to dive into the Exploration Methods π€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week10
Stay Connected:β¦
In this session, we continue to dive into the Exploration Methods π€
π‘ Want more resources?
Get the slides and extra goodies here:
π https://deeprlcourse.github.io/lectures/week10
Stay Connected:β¦
β€1
π Join this insightful Discussion at Sharif University of Technology
π Subject: Exploration in Reinforcement Learning
π¨βπ« Guest: Ian Osband (Researcher in Artificial Intelligence, formerly at DeepMind and OpenAI)
π Date: Thursday (May 1, 2025)
π Time: 3:00 PM Iran Time
π‘ Sign Up Here: https://forms.gle/TWqkmomDAKDdioxu5
@DeepRLCourse
π Subject: Exploration in Reinforcement Learning
π¨βπ« Guest: Ian Osband (Researcher in Artificial Intelligence, formerly at DeepMind and OpenAI)
π Date: Thursday (May 1, 2025)
π Time: 3:00 PM Iran Time
π‘ Sign Up Here: https://forms.gle/TWqkmomDAKDdioxu5
@DeepRLCourse
π₯3β€2