Reversible Markov decision processes
Anantharam
Venkat
A Markov decision process is called reversible if for every stationary Markov control strategy the resulting Markov chain is reversible.
Mon compte
Pas encore inscrit ?
A Markov decision process is called reversible if for every stationary Markov control strategy the resulting Markov chain is reversible.
Bordenave and Caputo (2014) defined a notion of entropy for probability distributions on rooted graphs with finite expected degree at the root. When such a probability distribution \rho has finite BC