use action space
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@ -4,12 +4,13 @@ use std::{
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};
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use super::dataset::TankItem;
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use super::feature::ACTION_SPACE;
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use crate::{ffi::prelude::*, Backend};
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use burn::{backend::wgpu::WgpuDevice, module::Module, record::NoStdTrainingRecorder};
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use rand::{thread_rng, Rng};
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use super::model::{DQNModel, DQNModelConfig};
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const EXPLORE_RATE: f32 = 0.4;
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const EXPLORE_RATE: f32 = 0.2;
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pub struct App<'a> {
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model: DQNModel<Backend>,
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@ -64,7 +65,7 @@ impl<'a> App<'a> {
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}
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let action = match thread_rng().gen_ratio((4096.0 * EXPLORE_RATE) as u32, 4096) {
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true => match thread_rng().gen_range(0..15 as i32) {
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true => match thread_rng().gen_range(0..ACTION_SPACE as i32) {
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0 => Action::Forward,
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1 => Action::Backward,
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2 => Action::TurnRight,
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@ -72,8 +73,7 @@ impl<'a> App<'a> {
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4 => Action::AimRight,
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5 => Action::AimLeft,
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6 => Action::Shoot,
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7 => Action::TurnRight,
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_ => Action::Forward,
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_ => unreachable!("Invalid action"),
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},
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false => self.predict_action(state),
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};
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