📣 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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Deep RL (Sp25)
📣 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…
📣 This session will be held in Class 201 of the CE Department
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📣 Homework 7 is out!
⏰ Deadline: May 11 (۲۱ اردیبهشت) 11:59 PM
🌐 https://deeprlcourse.github.io/homeworks/week7
⏰ Deadline: May 11 (۲۱ اردیبهشت) 11:59 PM
🌐 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.
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📣 Ghazal Hosseini, one of the designers of Homework 7, explains the homework for you:
🎥 https://www.youtube.com/watch?v=jcVc3TXnK6I
🎥 https://www.youtube.com/watch?v=jcVc3TXnK6I
YouTube
Homework 7 | Value-Based Theory | Spring 25
Presented by Ghazal Hosseini
🔗 https://www.linkedin.com/in/ghazal-hosseini-mighan-8b911823a
📂 Access the Homework:
🔗 https://deeprlcourse.github.io/homeworks/week7
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www…
🔗 https://www.linkedin.com/in/ghazal-hosseini-mighan-8b911823a
📂 Access the Homework:
🔗 https://deeprlcourse.github.io/homeworks/week7
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www…
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📣 Screen Record of Midterm QA Session is Out!
🎥 https://www.youtube.com/watch?v=URna5SMXtTg
🎥 https://www.youtube.com/watch?v=URna5SMXtTg
YouTube
QA Session | Midterm | Spring 25 (Screen Record)
Welcome to the Midterm QA Session of our Spring 2025 Deep RL Course! 🚀
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.com/@DeepRLCourse
🐦 https://x.com/DeepRLCourse
📢 https://news.1rj.ru/str/DeepRLCourse
Don't forget…
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube.com/@DeepRLCourse
🐦 https://x.com/DeepRLCourse
📢 https://news.1rj.ru/str/DeepRLCourse
Don't forget…
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📣 Screen Record of Lecture 14 is Out!
🎥 https://www.youtube.com/watch?v=td1weQgnWMs
🎥 https://www.youtube.com/watch?v=td1weQgnWMs
YouTube
Lecture 14 | Value-Based Theory | Spring 25 (Screen Record)
Welcome to the 14th lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we continue to dive into the Value-Based Theory🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week7
Stay Connected:…
In this session, we continue to dive into the Value-Based Theory🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week7
Stay Connected:…
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Deep RL (Sp25)
📣 Homework 6 is out! ⏰ Deadline: Apr 6 (۱۷ فروردین) 11:59 PM (+3 Extra Days Until Hard Deadline!) 🌐 https://deeprlcourse.github.io/homeworks/week6
📣 Hard Deadline for Homework 6 is Today at 2:59 AM and the Solution will be released in the morning.
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📣 Course Notes for <Week 5: Model-Based Methods> are Out!
🌐 https://deeprlcourse.github.io/course_notes/model-based
🌐 https://deeprlcourse.github.io/course_notes/model-based
deeprlcourse.github.io
Week 5: Model-Based Methods - Deep RL Course
This page provides a comprehensive overview of Model-Based Reinforcement Learning (MBRL), covering foundational concepts, key methodologies, and modern algorithms. It explores the integration of planning and learning, dynamics model learning, and advanced…
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📣 Course Notes for <Week 6: Multi-Armed Bandits> are Out!
🌐 https://deeprlcourse.github.io/course_notes/bandits
🌐 https://deeprlcourse.github.io/course_notes/bandits
deeprlcourse.github.io
Week 6: Multi-Armed Bandits - Deep RL Course
This page provides an in-depth exploration of the Multi-Armed Bandit (MAB) problem, a foundational concept in reinforcement learning and decision-making under uncertainty. It covers the theoretical framework, key algorithms, and practical applications of…
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