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https://github.com/open-jarvis/OpenJarvis.git
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41 lines
1.5 KiB
Rust
41 lines
1.5 KiB
Rust
//! Learning — router policies, bandits, GRPO, trace-driven learning.
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//!
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//! ML training pipelines (LoRA, SFT, GRPO trainers) stay in Python.
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pub mod agent_advisor;
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pub mod agent_evolver;
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pub mod bandit;
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pub mod grpo;
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pub mod heuristic;
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pub mod heuristic_reward;
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pub mod icl_updater;
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pub mod learning_orchestrator;
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pub mod optimize;
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pub mod orchestrator_types;
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pub mod reward;
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pub mod router_enum;
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pub mod sft_policy;
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pub mod skill_discovery;
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pub mod trace_policy;
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pub mod training_data;
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pub mod traits;
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pub use agent_advisor::{AgentAdvisorPolicy, Recommendation, TraceInfo};
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pub use agent_evolver::{AgentConfigEvolver, AgentConfigRecommendation, EvolutionTraceData};
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pub use bandit::BanditRouterPolicy;
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pub use grpo::GRPORouterPolicy;
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pub use heuristic::HeuristicRouter;
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pub use heuristic_reward::HeuristicRewardFunction;
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pub use icl_updater::{DiscoveredSequence, ICLExample, ICLUpdaterPolicy};
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pub use learning_orchestrator::{LearningCycleResult, LearningOrchestrator};
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pub use orchestrator_types::{
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Episode, EpisodeState, EpisodeStep, OrchestratorAction, OrchestratorObservation, PolicyOutput,
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};
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pub use reward::{AdaptiveRewardWeights, MultiObjectiveReward, Normalizers, RewardWeights};
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pub use router_enum::RouterPolicyEnum;
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pub use sft_policy::SFTRouterPolicy;
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pub use skill_discovery::{DiscoveredSkill, SkillDiscovery};
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pub use trace_policy::{classify_query, TraceDrivenPolicy};
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pub use training_data::{AgentConfigPair, MinerTraceData, RoutingRecommendation, SFTPair, TrainingDataMiner};
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pub use traits::{LearningPolicy, RouterPolicy};
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