bot train graph
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@ -91,7 +91,7 @@ impl Environment for TrictracEnvironment {
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type ActionType = TrictracAction;
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type RewardType = f32;
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const MAX_STEPS: usize = 1000; // Limite max pour éviter les parties infinies
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const MAX_STEPS: usize = 700; // Limite max pour éviter les parties infinies
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fn new(visualized: bool) -> Self {
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let mut game = GameState::new(false);
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@ -9,7 +9,7 @@ type Backend = Autodiff<NdArray<ElemType>>;
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type Env = environment::TrictracEnvironment;
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fn main() {
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println!("> Entraînement");
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// println!("> Entraînement");
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let conf = dqn_model::DqnConfig {
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num_episodes: 40,
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// memory_size: 8192, // must be set in dqn_model.rs with the MEMORY_SIZE constant
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8
justfile
8
justfile
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@ -24,10 +24,12 @@ pythonlib:
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trainbot:
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#python ./store/python/trainModel.py
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# cargo run --bin=train_dqn # ok
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cargo build --release --bin=train_dqn_burn
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#LD_LIBRARY_PATH=./target/release ./target/release/train_dqn_burn
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LD_LIBRARY_PATH=./target/release ./target/release/train_dqn_burn | tee >&2 | sed s/,//g | awk '{print $4}' | feedgnuplot --lines --points --unset grid
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# cargo run --bin=train_dqn_burn # utilise debug (why ?)
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cargo build --release --bin=train_dqn_burn
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LD_LIBRARY_PATH=./target/release ./target/release/train_dqn_burn | tee /tmp/train.out
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plottrainbot:
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cat /tmp/train.out | awk -F '[ ,]' '{print $5}' | feedgnuplot --lines --points --unset grid
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#tail -f /tmp/train.out | awk -F '[ ,]' '{print $5}' | feedgnuplot --lines --points --unset grid
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debugtrainbot:
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cargo build --bin=train_dqn_burn
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RUST_BACKTRACE=1 LD_LIBRARY_PATH=./target/debug ./target/debug/train_dqn_burn
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