  We prove results for random walks in dynamic random environments which do not
require the strong uniform mixing assumptions present in the literature. We
focus on the "environment seen from the walker"-process and in particular its
invariant law. Under general conditions it exists and is mutually absolutely
continuous to the environment law. With stronger assumptions we obtain for
example uniform control on the density or a quenched CLT. The general
conditions are made more explicit by looking at hidden Markov models or Markov
chains as environment and by providing simple examples.
