oxymcts 0.1.0

Library for general traits and default implementations for Monte Carlo Tree Search
Documentation
pub use crate::agents::*;
pub use crate::aliases::*;
use crate::defaults::DefaultUctEvaluator;
pub use crate::defaults::{DefaultBackProp, DefaultLazyTreePolicy, DefaultPlayout};
pub use crate::mcts_node::*;
pub use crate::ops::*;
pub use crate::traits::*;
pub use crate::tree_search::LazyMcts;
pub use ego_tree::*;

mod agents;
mod aliases;
mod defaults;
mod mcts_node;
mod ops;
mod traits;
mod tree_search;

/// This mcts uses UCT, naive simulation applying random moves until a final state, and scoring 1
/// if the player won.
pub type DefaultMcts<'a, State> = LazyMcts<
    'a,
    State,
    DefaultLazyTreePolicy<State, DefaultUctEvaluator, (), u32>,
    DefaultPlayout,
    DefaultBackProp,
    DefaultUctEvaluator,
    (),
    u32,
>;