📣 "Policy-Based Theory" Recitation
🕛 Tomorrow (Monday Apr 28th) at 12:00 PM
🧑🏻🏫 Mahyar Afshinmehr
🏬 Class 402
🧠 Don’t miss it—let's learn and explore together! 💡
🕛 Tomorrow (Monday Apr 28th) at 12:00 PM
🧑🏻🏫 Mahyar Afshinmehr
🏬 Class 402
🧠 Don’t miss it—let's learn and explore together! 💡
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📣 Website Updated with Materials from the Last Few Weeks!
✅ Lecture Materials for Week 8 & 9
✅ Final Video of Lecture 11, 17 & 18
✅ Recitation Video of Week 7
✅ Slides for Professor Jiang talk
Slides are now available up to Lecture 19.
Check them out here:
🌐 https://deeprlcourse.github.io
✅ Lecture Materials for Week 8 & 9
✅ Final Video of Lecture 11, 17 & 18
✅ Recitation Video of Week 7
✅ Slides for Professor Jiang talk
Slides are now available up to Lecture 19.
Check them out here:
🌐 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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📣 Screen Record of Lecture 19 is Out!
🎥 https://www.youtube.com/watch?v=CJqyINq_rZY
🎥 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! 🚀
In this session, we dive into the Exploration Methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week10
Stay Connected:
✉️…
In this session, we dive into the Exploration Methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week10
Stay Connected:
✉️…
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Lecture_19_Summary.pdf
365.4 KB
🎓 Summary of Lecture 19 📚
🔗 Quiz Link: https://forms.gle/iD4o4VfH5YuQzaEq7
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
🔗 Quiz Link: https://forms.gle/iD4o4VfH5YuQzaEq7
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
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📣 Screen Record of Lecture 20 is Out!
🎥 https://www.youtube.com/watch?v=VAZgALJ663k
🎥 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! 🚀
In this session, we continue to dive into the Exploration Methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week10
Stay Connected:…
In this session, we continue to dive into the Exploration Methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week10
Stay Connected:…
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🚀 Join this insightful Discussion at Sharif University of Technology
🎙 Subject: Exploration in Reinforcement Learning
👨🏫 Guest: Ian Osband (Researcher in Artificial Intelligence, formerly at DeepMind and OpenAI)
📅 Date: Thursday (May 1, 2025)
🕗 Time: 3:00 PM Iran Time
💡 Sign Up Here: https://forms.gle/TWqkmomDAKDdioxu5
@DeepRLCourse
🎙 Subject: Exploration in Reinforcement Learning
👨🏫 Guest: Ian Osband (Researcher in Artificial Intelligence, formerly at DeepMind and OpenAI)
📅 Date: Thursday (May 1, 2025)
🕗 Time: 3:00 PM Iran Time
💡 Sign Up Here: https://forms.gle/TWqkmomDAKDdioxu5
@DeepRLCourse
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🚀 Join Benjamin Eysenbach’s Talk at Sharif University of Technology
🎙 Title: Self-Supervised Agents: Exploring and Learning with Minimal Feedback
👨🏫 Speaker: Benjamin Eysenbach (Assistant Professor, Princeton University)
📅 Date: Thursday (May 1, 2025)
🕗 Time: 4:30 PM Iran Time
💡 Sign Up Here: https://forms.gle/j4pUEa89N8kzCRpb9
@DeepRLCourse
🎙 Title: Self-Supervised Agents: Exploring and Learning with Minimal Feedback
👨🏫 Speaker: Benjamin Eysenbach (Assistant Professor, Princeton University)
📅 Date: Thursday (May 1, 2025)
🕗 Time: 4:30 PM Iran Time
💡 Sign Up Here: https://forms.gle/j4pUEa89N8kzCRpb9
@DeepRLCourse
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🚀 Join Jeff Clune’s Talk at Sharif University of Technology
🎙 Title: Open-Ended and AI-Generating Algorithms in the Era of Foundation Models
👨🏫 Speaker: Jeff Clune (University of British Columbia, Vector Institute, DeepMind)
📅 Date: Friday (May 2, 2025)
🕗 Time: 8:00 PM Iran Time
💡 Sign Up Here: https://forms.gle/57sRPPLWMd9dcF8F9
@DeepRLCourse
🎙 Title: Open-Ended and AI-Generating Algorithms in the Era of Foundation Models
👨🏫 Speaker: Jeff Clune (University of British Columbia, Vector Institute, DeepMind)
📅 Date: Friday (May 2, 2025)
🕗 Time: 8:00 PM Iran Time
💡 Sign Up Here: https://forms.gle/57sRPPLWMd9dcF8F9
@DeepRLCourse
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🚀 We will be live from 2:55 PM. Join us here:
https://www.youtube.com/@DeepRLCourse
🎙 Subject: Exploration in Reinforcement Learning
👨🏫 Guest: Ian Osband (Researcher in Artificial Intelligence, formerly at DeepMind and OpenAI)
https://www.youtube.com/@DeepRLCourse
🎙 Subject: Exploration in Reinforcement Learning
👨🏫 Guest: Ian Osband (Researcher in Artificial Intelligence, formerly at DeepMind and OpenAI)
👍3❤1
🚀 We will be live from 4:25 PM. Join us here:
https://www.youtube.com/@DeepRLCourse
🎙 Title: Self-Supervised Agents: Exploring and Learning with Minimal Feedback
👨🏫 Speaker: Benjamin Eysenbach (Assistant Professor, Princeton University)
https://www.youtube.com/@DeepRLCourse
🎙 Title: Self-Supervised Agents: Exploring and Learning with Minimal Feedback
👨🏫 Speaker: Benjamin Eysenbach (Assistant Professor, Princeton University)
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🚀 We are live now! Join us here:
https://www.youtube.com/@DeepRLCourse
🎙 Title: Open-Ended and AI-Generating Algorithms in the Era of Foundation Models
👨🏫 Speaker: Jeff Clune (University of British Columbia, Vector Institute, DeepMind)
https://www.youtube.com/@DeepRLCourse
🎙 Title: Open-Ended and AI-Generating Algorithms in the Era of Foundation Models
👨🏫 Speaker: Jeff Clune (University of British Columbia, Vector Institute, DeepMind)
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Lecture_20_Summary.pdf
360.6 KB
🎓 Summary of Lecture 20 📚
🔗 Quiz Link: https://forms.gle/TJ59RWp3qVBwyWgo7
🕐 Deadline: 1:30 PM (before the class) [Sorry for the delay]
Stay on track and get it done! 🚀
🔗 Quiz Link: https://forms.gle/TJ59RWp3qVBwyWgo7
🕐 Deadline: 1:30 PM (before the class) [Sorry for the delay]
Stay on track and get it done! 🚀
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📣 Screen Record of Lecture 21 is Out!
🎥 https://www.youtube.com/watch?v=ySGk_w6l5jw
🎥 https://www.youtube.com/watch?v=ySGk_w6l5jw
YouTube
Lecture 21 | Imitation & Inverse RL | Spring 25 (Screen Record)
Welcome to the 21th lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we dive into the Imitation & Inverse RL 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week11
Stay Connected:…
In this session, we dive into the Imitation & Inverse RL 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week11
Stay Connected:…
Lecture_21_Summary.pdf
463.7 KB
🎓 Summary of Lecture 21 📚
🔗 Quiz Link: https://forms.gle/qnsBzFayVSaXTGiYA
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
🔗 Quiz Link: https://forms.gle/qnsBzFayVSaXTGiYA
🕐 Deadline: 1:30 PM (before the class)
Stay on track and get it done! 🚀
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📣 Screen Record of Lecture 22 is Out!
🎥 https://www.youtube.com/watch?v=huabR5dPCeI
🎥 https://www.youtube.com/watch?v=huabR5dPCeI
YouTube
Lecture 22 | Imitation & Inverse RL | Spring 25 (Screen Record)
Welcome to the 22th lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we continue to dive into the Imitation & Inverse RL 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week11
Stay…
In this session, we continue to dive into the Imitation & Inverse RL 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week11
Stay…
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📣 Screen Record of Lecture 23 is Out!
🎥 https://www.youtube.com/watch?v=XlSq4tL_D98
🎥 https://www.youtube.com/watch?v=XlSq4tL_D98
YouTube
Lecture 23 | Offline RL Methods | Spring 25 (Screen Record)
Welcome to the 23th lecture of our Spring 2025 Deep RL Course! 🚀
In this session, we dive into the Offline RL Methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week12
Stay Connected:
✉️ …
In this session, we dive into the Offline RL Methods 🤖
💡 Want more resources?
Get the slides and extra goodies here:
🔗 https://deeprlcourse.github.io/lectures/week12
Stay Connected:
✉️ …
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