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Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Online Learning Markov Decision Processes Adversarially Chosen Transition Probability Distributions
2013/5/2
We study the problem of learning Markov decision processes with finite state and action spaces when the transition probability distributions and loss functions are chosen adversarially and are allowed...
A $k$-modal probability distribution over the domain $\{1,...,n\}$ is one whose histogram has at most $k$ "peaks" and "valleys." Such distributions are natural generalizations of monotone ($k=0$) and ...
Martingale Couplings and Bounds on the Tails of Probability Distributions
Martingale Couplings Probability Distributions
2011/7/19
Hoeffding has shown that tail bounds on the distribution for sampling from a finite population with replacement also apply to the corresponding cases of sampling without replacement.
Subclasses of Goldie-Steutel-Bondesson class of infinitely divisible distributions on Rd by Υ-mapping
innitely divisible distribution Levy measure mixture of exponential distribution Upsilon mapping stochastic integral of Levy process
2009/6/12
Bondesson (1981) studied the class of generalized convolutions of mixtures of exponential distributions on R = (0), which is the smallest class that contains all mixtures of exponential distributions ...