Search results with tag "Maximum entropy"
Principle of Maximum Entropy - Massachusetts Institute of ...
mtlsites.mit.eduThe entropy has its maximum value when all probabilities are equal (we assume the number of possible states is finite), and the resulting value for entropy is the logarithm of the number of states, with a possible scale
Soft Actor-Critic: Off-Policy Maximum Entropy Deep ...
arxiv.orgMaximum entropy reinforcement learning optimizes poli-cies to maximize both the expected return and the ex-pected entropy of the policy. This framework has been used in many contexts, from inverse reinforcement learn-ing (Ziebart et al.,2008) to optimal control (Todorov,2008; Toussaint,2009;Rawlik et al.,2012). In guided policy
Using Maximum Entropy for Text Classi cation - Kamal Nigam
www.kamalnigam.comconditional distributions. Then, the speci c application of maximum entropy to text classi cation is discussed in Section 3. Related work is presented in Section 4.
Lecture 1: Entropy and mutual information
www.ece.tufts.edu• Maximum entropy: Let X be set from which the random variable X takes its values (sometimes called the alphabet), then H(X) ≤ log|X|. (10) The above bound is achieved when X is uniformly distributed. • Non increasing under functions: Let X be a random variable and let g(X) be some deterministic function of X. We have that: H(X) ≥ H(g(X ...
Entropy and Partial Differential Equations
math.berkeley.edua. Computing entropy/entropy flux pairs b. Kinetic formulation VI. Hamilton–Jacobiandrelatedequations A. Viscosity solutions B. Hopf–Lax formula C. A diffusion limit 1. Formulation 2. Construction of diffusion coefficients 3. Passing to limits VII.Entropyanduncertainty A. Maxwell’s demon B. Maximum entropy 1. A probabilistic model …