Lecture_3_Summary.pdf
437.7 KB
🎓 Summary of Lecture 3 📚
🔗 Quiz Link: https://forms.gle/cuRdPXYkoWk8YG8W6
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
🔗 Quiz Link: https://forms.gle/cuRdPXYkoWk8YG8W6
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
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📣 Slides for Lecture 4 are out! Get a head start before the class!
🔗 https://deeprlcourse.github.io/lectures/week2/#lecture-4
🔗 https://deeprlcourse.github.io/lectures/week2/#lecture-4
deeprlcourse.github.io
Week 2: Value-Based Methods - Deep RL Course
This page contains the lecture materials for Week 2 of the Deep Reinforcement Learning course, including video recordings, slides, and summaries.
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🚀 Join Chris Watkins’s Talk at Sharif University of Technology
🎙 Title: From Shortest Paths to Value Iteration to Q-Learning
👨🏫 Speaker: Chris Watkins (Professor of Computer Science, Royal Holloway)
📅 Date: Friday (Feb 21, 2025)
🕗 Time: 3:00 PM Iran Time
💡 Sign Up Here: https://forms.gle/ET3Y5jB6Jt9vkQ2x9
@DeepRLCourse
🎙 Title: From Shortest Paths to Value Iteration to Q-Learning
👨🏫 Speaker: Chris Watkins (Professor of Computer Science, Royal Holloway)
📅 Date: Friday (Feb 21, 2025)
🕗 Time: 3:00 PM Iran Time
💡 Sign Up Here: https://forms.gle/ET3Y5jB6Jt9vkQ2x9
@DeepRLCourse
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📣 Screen record of Lecture 4 is Out!
🎥 https://www.youtube.com/watch?v=bIcsqMT-AqM
🎥 https://www.youtube.com/watch?v=bIcsqMT-AqM
YouTube
Lecture 4 | Value-Based Methods | Spring 25 (Screen Record)
Welcome to the 4th lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we continue to dive into the value-based methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week2
Stay Connected:…
In this session, we continue to dive into the value-based methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week2
Stay Connected:…
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📣 The Recitation and Workshop session for today will be held online at the scheduled time.
🧑🏻🏫 Recitation starts @ 12:00 PM
🧑🏻💻 Workshop starts @ 6:00 PM
🌐 https://vc.sharif.edu/ch/rohban-ta
🧑🏻🏫 Recitation starts @ 12:00 PM
🧑🏻💻 Workshop starts @ 6:00 PM
🌐 https://vc.sharif.edu/ch/rohban-ta
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📣 Reza GhaderiZadeh, one of the designers of Homework 2, explains the homework for you:
🎥 https://www.youtube.com/watch?v=C9zHIU8GOrc
🎥 https://www.youtube.com/watch?v=C9zHIU8GOrc
YouTube
Homework 2 | Value-Based Methods | Spring 25
Presented by Reza GhaderiZadeh
🔗 https://www.linkedin.com/in/reza-ghaderi-7733a5202
📂 Access the Homework:
🔗 https://deeprlcourse.github.io/homeworks/week2
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube…
🔗 https://www.linkedin.com/in/reza-ghaderi-7733a5202
📂 Access the Homework:
🔗 https://deeprlcourse.github.io/homeworks/week2
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube…
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📣 Feedback Form for Recitation 2
🌐 https://forms.gle/r1UUjyxBYmR4VGSA7
⏰ Deadline: Feb 23, 12 Midnight
🌐 https://forms.gle/r1UUjyxBYmR4VGSA7
⏰ Deadline: Feb 23, 12 Midnight
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📣 Video of Recitation 2 is Out!
🎥 https://www.youtube.com/watch?v=VGyTswKBYL8
🎥 https://www.youtube.com/watch?v=VGyTswKBYL8
YouTube
Recitation 2 | Value-Based Methods | Spring 25
Presented by Reza GhaderiZadeh
🔗 https://www.linkedin.com/in/reza-ghaderi-7733a5202
📂 Access the Slides:
🔗 https://deeprlcourse.github.io/recitations/week2
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube…
🔗 https://www.linkedin.com/in/reza-ghaderi-7733a5202
📂 Access the Slides:
🔗 https://deeprlcourse.github.io/recitations/week2
Stay Connected:
✉️ deeprlcourse@gmail.com
🌐 https://deeprlcourse.github.io
📺 https://www.youtube…
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📢 Anonymous Feedback Form
Got concerns or suggestions about the course?
Share them anytime—completely anonymously! The form will stay open until the end of the course, and we'll reflect on all feedback and take action whenever possible.
🔗 https://forms.gle/snzciPzEbJo698GE8
You can always find it in the channel info for easy access.
Your voice matters! 🚀
Got concerns or suggestions about the course?
Share them anytime—completely anonymously! The form will stay open until the end of the course, and we'll reflect on all feedback and take action whenever possible.
🔗 https://forms.gle/snzciPzEbJo698GE8
You can always find it in the channel info for easy access.
Your voice matters! 🚀
Google Docs
📢 Anonymous Feedback!
Your thoughts matter! 🧠💡 This is your chance to share honest and anonymous feedback about the course. Your insights help us improve and create a better learning experience for everyone! 🚀🎯
All responses are completely anonymous—so feel free to be open and…
All responses are completely anonymous—so feel free to be open and…
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📣 Final Video of Lecture 3 is Out!
🎥 https://www.youtube.com/watch?v=otAnod9-J0E
🎥 https://www.youtube.com/watch?v=otAnod9-J0E
YouTube
Lecture 3 | Value-Based Methods | Spring 25
Welcome to the 3rd lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we dive into the value-based methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week2
Stay Connected:
✉️ d…
In this session, we dive into the value-based methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week2
Stay Connected:
✉️ d…
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📣 Final Video of Lecture 4 is Out!
🎥 https://www.youtube.com/watch?v=7MrSo-I0p4U
🎥 https://www.youtube.com/watch?v=7MrSo-I0p4U
YouTube
Lecture 4 | Value-Based Methods | Spring 25
Welcome to the 4th lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we continue to dive into the value-based methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week2
Stay Connected:…
In this session, we continue to dive into the value-based methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week2
Stay Connected:…
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📣 Workshop material for Week 2 is available here:
🔗 https://github.com/DeepRLCourse/Workshop-2-Material
🔗 https://github.com/DeepRLCourse/Workshop-2-Material
GitHub
GitHub - DeepRLCourse/Workshop-2-Material
Contribute to DeepRLCourse/Workshop-2-Material development by creating an account on GitHub.
📣 Important Announcement
You can submit your solutions for Homework 2 and Homework 3 together on March 2 (۱۲ اسفند).
You can submit your solutions for Homework 2 and Homework 3 together on March 2 (۱۲ اسفند).
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🚀 We will be live from 2:50 PM. Join us here:
https://www.youtube.com/@DeepRLCourse
🎙 Title: From Shortest Paths to Value Iteration to Q-Learning
👨🏫 Speaker: Chris Watkins (Professor of Computer Science, Royal Holloway)
https://www.youtube.com/@DeepRLCourse
🎙 Title: From Shortest Paths to Value Iteration to Q-Learning
👨🏫 Speaker: Chris Watkins (Professor of Computer Science, Royal Holloway)
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🚀 We will be live from 5:20 PM. Join us here:
https://www.youtube.com/@DeepRLCourse
🎙 Title: Assessing the Robustness of Deep RL Algorithms
👨🏫 Speaker: Michael L. Littman (Brown University, Humanity-Centered Robotics Initiative)
https://www.youtube.com/@DeepRLCourse
🎙 Title: Assessing the Robustness of Deep RL Algorithms
👨🏫 Speaker: Michael L. Littman (Brown University, Humanity-Centered Robotics Initiative)
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Lecture_4_Summary.pdf
389.3 KB
🎓 Summary of Lecture 4 📚
🔗 Quiz Link: https://forms.gle/AeiroVwcK7K5AKMNA
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
🔗 Quiz Link: https://forms.gle/AeiroVwcK7K5AKMNA
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
📣 Website Updated with Last Week’s Material!
Don't forget to take a look at the slides for today's lecture before the class:
🔗 https://deeprlcourse.github.io/lectures/week3/#lecture-5
Stay on track and keep learning! 🚀📚
Don't forget to take a look at the slides for today's lecture before the class:
🔗 https://deeprlcourse.github.io/lectures/week3/#lecture-5
Stay on track and keep learning! 🚀📚
deeprlcourse.github.io
Week 3: Policy-Based Methods - Deep RL Course
This page contains the lecture materials for Week 3 of the Deep Reinforcement Learning course, including video recordings, slides, and summaries.
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