relayrl_framework 0.5.0-alpha

A distributed, system-oriented multi-agent reinforcement learning framework.
// use crate::network::TransportType;
// use std::path::PathBuf;

// struct TrainingServerStartParameters {}

// /// Placeholder for server coordination logic
// pub struct ServerCoordinator {
//     transport_type: TransportType,
// }

// impl ServerCoordinator {
//     pub fn new(transport_type: TransportType) -> Self {
//         Self { transport_type }
//     }
// }

// pub struct TrainingServerBuilder {
//     network_type: TransportType,
//     actor_count: Option<i64>,
//     default_device: Option<Device>,
//     default_model: Option<CModule>,
//     algorithm_name: Option<String>,
//     config_path: Option<PathBuf>,
// }

// impl TrainingServerBuilder {
//     /// Create a new builder with required network type
//     pub fn builder(network_type: TransportType) -> Self {
//         Self {
//             network_type,
//             actor_count: None,
//             default_device: None,
//             default_model: None,
//             algorithm_name: None,
//             config_path: None,
//         }
//     }

//     pub fn actor_count(mut self, count: i64) -> Self {
//         self.actor_count = Some(count);
//         self
//     }

//     pub fn default_device(mut self, device: Device) -> Self {
//         self.default_device = Some(device);
//         self
//     }

//     pub fn default_model(mut self, model: CModule) -> Self {
//         self.default_model = Some(model);
//         self
//     }

//     pub fn algorithm_name(mut self, name: String) -> Self {
//         self.algorithm_name = Some(name.into());
//         self
//     }

//     pub fn config_path(mut self, path: PathBuf) -> Self {
//         self.config_path = Some(path.into());
//         self
//     }

//     pub async fn build(self) -> Result<TrainingServer, String> {
//         let _actor_count = self.actor_count.unwrap_or(1);
//         let _default_device = self.default_device.unwrap_or(Device::Cpu);
//         let _default_model = self.default_model;
//         let _algorithm_name = self
//             .algorithm_name
//             .unwrap_or_else(|| "default_algorithm".to_string());
//         let _config_path = self
//             .config_path
//             .unwrap_or_else(|| PathBuf::from("config.json"));

//         // Initialize the server with the provided parameters
//         let server = TrainingServer::new(self.network_type);

//         Ok(server)
//     }
// }

// pub struct TrainingServer {
//     coordinator: ServerCoordinator,
// }

// impl TrainingServer {
//     pub fn new(network_type: TransportType) -> Self {
//         Self {
//             coordinator: ServerCoordinator::new(network_type),
//         }
//     }

//     pub async fn start(self) {}
// }