ORL
2007
14 years 7 days ago
2007
In ergodic MDPs we consider stationary distributions of policies that coincide in all but n states, in which one of two possible actions is chosen. We give conditions and formulas...
CORR
2010
Springer
14 years 25 days ago
2010
Springer
We study logit dynamics [3] for strategic games. At every stage of the game a player is selected uniformly at random and she is assumed to play according to a noisy best-response ...
ICML
2010
IEEE
14 years 1 months ago
2010
IEEE
In this paper we consider the problem of policy evaluation in reinforcement learning, i.e., learning the value function of a fixed policy, using the least-squares temporal-differe...
WSC
1998
14 years 2 months ago
1998
We consider a new simulation-based optimization method called the Nested Partitions (NP) method. This method generates a Markov chain and solving the optimization problem is equiv...
DAGSTUHL
2006
14 years 2 months ago
2006
One of the main difficulties faced when analyzing Markov chains modelling evolutionary algorithms is that their cardinality grows quite fast. A reasonable way to deal with this iss...