[][src]Struct connect6::policy::DefaultPolicy

pub struct DefaultPolicy { /* fields omitted */ }

Policy for pure Monte Carlo tree search implementation

Examples

let mut policy = DefaultPolicy::with_num_iter(2);
let result = Agent::new(&mut policy).play();
assert!(result.is_ok());

Methods

impl DefaultPolicy[src]

pub fn new() -> DefaultPolicy[src]

Construct a new DefaultPolicy

pub fn with_num_iter(num_iter: i32) -> DefaultPolicy[src]

Construct a DefaultPolicy with number of iteration in simulation task.

Trait Implementations

impl Policy for DefaultPolicy[src]

fn next(&mut self, game: &Game) -> Option<(usize, usize)>[src]

Select position based on pure MCTS.

Auto Trait Implementations

impl Send for DefaultPolicy

impl Sync for DefaultPolicy

Blanket Implementations

impl<T> From for T[src]

impl<T, U> Into for T where
    U: From<T>, 
[src]

impl<T, U> TryFrom for T where
    T: From<U>, 
[src]

type Error = !

🔬 This is a nightly-only experimental API. (try_from)

The type returned in the event of a conversion error.

impl<T> Borrow for T where
    T: ?Sized
[src]

impl<T> BorrowMut for T where
    T: ?Sized
[src]

impl<T, U> TryInto for T where
    U: TryFrom<T>, 
[src]

type Error = <U as TryFrom<T>>::Error

🔬 This is a nightly-only experimental API. (try_from)

The type returned in the event of a conversion error.

impl<T> Any for T where
    T: 'static + ?Sized
[src]

impl<T> Erased for T