5 search results - page 1 / 1 » Expected Mistake Bound Model for On-Line Reinforcement Learn... |
70
Voted
ICML
1997
IEEE
15 years 11 months ago
1997
IEEE
102
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EWRL
2008
14 years 12 months ago
2008
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
CORR
2000
Springer
14 years 10 months ago
2000
Springer
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...
103
Voted
ML
2008
ACM
14 years 10 months ago
2008
ACM
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...