====== Seminars ======

We will use Python during the seminars. The internet is full of resources on this popular language. For example this [[https://www.programiz.com/python-programming/tutorial|brief overview]] or the [[https://docs.python.org/3/tutorial/index.html#tutorial-index|official handbook]] or the [[https://docs.python.org/3/library/index.html#library-index|standard libraries index]]. 



Tentative schedule:
^ No. ^ Week of ^  Topic ^ Sources ^ Links ^ 
| 1 | 16.2. | Introduction, Python, BFS/DFS | **[[https://drive.google.com/drive/folders/1WyUPr0qZ1tt_W9x3uZAfuFrsxyTSG8hc?usp=drive_link|Labs Notebooks (Google drive, accessible via FEL account)]]**  | /*[[courses:b4b36zui:materials:python| Workspaces and libraries in Python]] *|
| 2 | 23.2. | MDPs, NNs | | |
| 3 |  2.3. | POMDPs | | |
| 4 | 9.3. | A* | | |
| 5 | 16.3. | CSPs, Scheduling | | |
| 6 | 23.3. | The Bandit Problem | |  |
| 7 | 30.3. | Value Iteration | | [[https://web.stanford.edu/class/cme241/lecture_slides/BellmanOperators.pdf|Convergence of Value Iteration]] |
| 8 |  6.4. (en) / 20.4. (cs)| Scaling up RL | | |
| 9 | 13.4. | Test? | | |
| 10 | 20.4. (en) / 27.4. (cs)| Games - Alpha/Beta | | |
| 11 | 27.4. (en) / 4.5. (cs) | Games - MCTS | | |
| 12 | 11.5. | Uncertainty in AI | | |
| 13 | 18.5. | POMDPs | | |