Tutorials

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