Number | Topic | Tutor | Contents | Materials |
---|---|---|---|---|
1 | RL | Ryšavý | MDP | rltutorial1.pdf rltutorial1-solved.pdf mdprefresh.pdf |
2 | RL | Ryšavý | TD-learning | rltutorial2.pdf rltutorial2-solved.pdf rltutorial2.zip |
3 | RL | Ryšavý | Theoretical problems | rltutorial3.pdf rltutorial3-solved.pdf convergence.pdf |
4 | RL | Ryšavý | Deep RL | nnsrltutorial.zip |
5 | RL | Ryšavý | Deep RL | Tutorial 5 continued |
6 | BN | Svatoš | BN | Monday imx-visp-odw, Wednesday psc-odwo-kkm bn1.pdf ; Wednesday's tutorial without voice, Monday's tutorial wasn't recorder |
7 | BN | Svatoš | BN | Monday https://meet.google.com/wkw-gwuh-xyq, Wednesday in class, bn2.pdf ; Monday's tutorial part 1 part 2 likelihood weighting ; BN assignment |
8 | NLP | Šír | Probabilistic models | Probabilistic models |
9 | NLP | Šír | Vector models | Vector models |
10 | NLP | Šír | Neural Models | Neural models NLP assignment |
11 | COLT | Tóth | Mistake Bound Learning | MB Learning MB Learning Solutions |
12 | COLT | Tóth | MB theoretical problems | Problems Problems with solutions |
13 | COLT | Tóth | PAC Learning | Problems Problems with solutions PAC Learning |