Trait border_core::StdBatchBase
source · pub trait StdBatchBase {
type ObsBatch;
type ActBatch;
// Required methods
fn unpack(
self
) -> (Self::ObsBatch, Self::ActBatch, Self::ObsBatch, Vec<f32>, Vec<i8>, Option<Vec<usize>>, Option<Vec<f32>>);
fn len(&self) -> usize;
fn obs(&self) -> &Self::ObsBatch;
fn act(&self) -> &Self::ActBatch;
fn next_obs(&self) -> &Self::ObsBatch;
fn reward(&self) -> &Vec<f32>;
fn is_done(&self) -> &Vec<i8>;
fn weight(&self) -> &Option<Vec<f32>>;
fn ix_sample(&self) -> &Option<Vec<usize>>;
fn empty() -> Self;
}Expand description
A batch of transitions for training agents.
This trait represents a standard transition (o, a, o', r, is_done),
where o is an observation, a is an action, o' is an observation
after some time steps. Typically, o' is for the next step and used as
single-step backup. o' can also be for the multiple steps after o and
in this case it is sometimes called n-step backup.
The type of o and o' is the associated type ObsBatch.
The type of a is the associated type ActBatch.
Required Associated Types§
Required Methods§
sourcefn unpack(
self
) -> (Self::ObsBatch, Self::ActBatch, Self::ObsBatch, Vec<f32>, Vec<i8>, Option<Vec<usize>>, Option<Vec<f32>>)
fn unpack( self ) -> (Self::ObsBatch, Self::ActBatch, Self::ObsBatch, Vec<f32>, Vec<i8>, Option<Vec<usize>>, Option<Vec<f32>>)
Unpack the data (o_t, a_t, o_t+n, r_t, is_done_t).
Optionally, the return value has sample indices in the replay buffer and thier weights. Those are used for prioritized experience replay (PER).