getBestAction(const std::vector< float > &s)=0 | Planner | [pure virtual] |
planOnNewModel()=0 | Planner | [pure virtual] |
random_max_element(std::vector< float >::iterator start, std::vector< float >::iterator end) | Planner | [inline] |
rng | Planner | |
savePolicy(const char *filename) | Planner | [inline, virtual] |
setFirst() | Planner | [inline, virtual] |
setModel(MDPModel *model)=0 | Planner | [pure virtual] |
setSeeding(bool seeding) | Planner | [inline, virtual] |
updateModelWithExperience(const std::vector< float > &last, int act, const std::vector< float > &curr, float reward, bool terminal)=0 | Planner | [pure virtual] |
~Planner() | Planner | [inline, virtual] |