Package jline.api.rl
Reinforcement Learning utilities for queueing control.
This package provides utilities for applying reinforcement learning techniques to queueing system control and optimization problems.
See: Description
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Class Summary Class Description RlEnv Reinforcement Learning Environment for Queueing Networks Provides an interface for RL agents to interact with queueing network models SampleResult Data class to hold sample results RlEnvGeneral General Reinforcement Learning Environment for Queueing Networks Provides a more general interface for RL agents with configurable action spaces RlTDAgent Temporal Difference Learning Agent for Queueing Network Control Implements TD learning with tabular value and Q functions RlTDAgentGeneral General Temporal Difference Learning Agent for Queueing Network Control Supports multiple value function approximation methods: Tabular
HashMap-based
Linear function approximation
Quadratic function approximation