Csaba Szepesvári
homepage:http://www.cs.ualberta.ca/~szepesva/
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Lectures:

votesvotesvotesvotesvotes [syn]  36774 views, 5:47:41  
tutorial
flag Introduction to Reinforcement Learning
as author at  Machine Learning Summer School (MLSS), Kioloa 2008,
36774 views
 
votesvotesvotesvotesvotes [syn]  4790 views, 1:23:58  
lecture
flag Theory of RL
as author at  Deep Learning (DLSS) and Reinforcement Learning (RLSS) Summer School, Montreal 2017,
4790 views
[syn]  6461 views, 42:21   invited talk
 invited talk
flag Using upper confidence bounds to control exploration and exploitation
as author at  NIPS Workshop on On-line Trading of Exploration and Exploitation, Whistler 2006,
6461 views
 
[syn]  4473 views, 43:51   Invited Talk
 invited talk
flag Toward the understanding of partial-monitoring games
as author at  Workshop on On‐lineTrading of Exploration and Exploitation 2, Washington 2011,
4473 views
[syn]  4002 views, 23:12  
lecture
flag Agnostic KWIK learning and efficient approximate reinforcement learning
as author at  24th Annual Conference on Learning Theory (COLT), Budapest 2011,
4002 views
 
votesvotesvotesvotesvotes [syn]  3792 views, 21:06  
lecture
flag Regret Bounds for the Adaptive Control of Linear Quadratic Systems
as author at  24th Annual Conference on Learning Theory (COLT), Budapest 2011,
3792 views
[syn]  3746 views, 02:36  
lecture
flag 36. Little Robot Goes Missing
as author at  AAAI 2009: AI Video Competition,
together with: Reka Szepesvari, Eszter Szepesvari,
3746 views
 
[syn]  2813 views, 54:10   Invited Talk
 invited talk
flag Tradeoffs in online learning under partial information feedback
as author at  Multi-Trade-offs in Machine Learning,
2813 views
1790 views, 18:25  
lecture
flag Deterministic Independent Component Analysis
as author at  32nd International Conference on Machine Learning (ICML), Lille 2015,
1790 views
 
3170 views, 41:17  
lecture
flag The use of Unlabeled Data in Supervised Learning: the Manifold Dossier
as author at  NIPS Workshop on New Challenges in Theoretical Machine Learning: Learning with Data-dependent Concept Spaces, Whistler 2008,
3170 views