📄️ AgentInterface
Abstract interface for the agent half of an RL optimization — everything that is not the
📄️ RLAgentEnv
Abstract base for RL agents used with RLExecutor. Combines
🗃️ Environments
4 items
📄️ ModelHandler
Optional mixin for agents (or separate handler classes) that support model transfer, export,
🗃️ Models
8 items
📄️ Connector
Entry point for connecting your agent process to the AsterQuanta platform. The Connector maintains
📄️ BaseExecutor
Abstract base for optimization executors. Subclass this when your optimization method is not the
📄️ OptimizationContext
Domain-agnostic description of an optimization job, returned by
📄️ RLExecutor
Default executor for reinforcement-learning agents. Implements the standard loop documented in