candle/candle-examples/examples/reinforcement-learning/main.rs

39 lines
614 B
Rust

#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::Result;
use clap::{Parser, Subcommand};
mod gym_env;
mod vec_gym_env;
mod ddpg;
mod dqn;
mod policy_gradient;
#[derive(Parser)]
struct Args {
#[command(subcommand)]
command: Command,
}
#[derive(Subcommand)]
enum Command {
Pg,
Ddpg,
Dqn,
}
fn main() -> Result<()> {
let args = Args::parse();
match args.command {
Command::Pg => policy_gradient::run()?,
Command::Ddpg => ddpg::run()?,
Command::Dqn => dqn::run()?,
}
Ok(())
}