pub struct RLStats {
pub total_steps: u64,
pub total_episodes: u64,
pub avg_reward_per_episode: f64,
pub current_epsilon: f64,
pub total_reward: f64,
pub avg_q_value: f64,
pub avg_loss: f64,
}Expand description
RL Agent statistics
Fields§
§total_steps: u64Total steps taken
total_episodes: u64Total episodes completed
avg_reward_per_episode: f64Average reward per episode
current_epsilon: f64Current epsilon (exploration rate)
total_reward: f64Total reward accumulated
avg_q_value: f64Average Q-value
avg_loss: f64Loss (for neural network methods)
Trait Implementations§
Source§impl<'de> Deserialize<'de> for RLStats
impl<'de> Deserialize<'de> for RLStats
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Auto Trait Implementations§
impl Freeze for RLStats
impl RefUnwindSafe for RLStats
impl Send for RLStats
impl Sync for RLStats
impl Unpin for RLStats
impl UnsafeUnpin for RLStats
impl UnwindSafe for RLStats
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Source§impl<T> BorrowMut<T> for Twhere
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impl<T> BorrowMut<T> for Twhere
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Mutably borrows from an owned value. Read more
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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
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impl<T> Pointable for T
Source§impl<T> PolicyExt for Twhere
T: ?Sized,
impl<T> PolicyExt for Twhere
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Source§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
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fn to_subset(&self) -> Option<SS>
The inverse inclusion map: attempts to construct
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Checks if
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Use with care! Same as
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fn from_subset(element: &SS) -> SP
The inclusion map: converts
self to the equivalent element of its superset.