ml theory series
The ML Theory series, co-organised with Databased, consists of a set of mini-courses covering topics in Theoretical Machine Learning. Each mini-course is complemented by invited talks from faculty members and researchers at industrial research labs, highlighting state-of-the-art developments in the respective areas.
Calendar:
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Reinforcement Learning
| Date | Lecture Topic | Instructor | Notes |
|---|---|---|---|
| 6 Jan 2026 | Markov Decision Processes, Value Iteration | Kintan Saha | Slides | Scribe | Recording |
| 8 Jan 2026 | Policy Iteration, Temporal Difference Learning | Kintan Saha | Slides | Scribe | Recording |
| 10 Jan 2026 | Stochastic Approximation, Convergence of TD | Kintan Saha | Slides | Scribe | Recording |
| 12 Jan 2026 | Q Learning, Policy Gradient Methods | Kintan Saha, Ishaq Hamza | Slides | Scribe | Recording |
| 14 Jan 2026 | Actor-Critic Methods | Ishaq Hamza | Slides | Scribe | Recording |
| 20 Jan 2026 | Multi-Agent Systems - I | Siddharth Reddy | Slides | Scribe | Recording |
| 22 Jan 2026 | Multi-Agent Systems - II | Siddharth Reddy | Slides | Scribe | Recording |