Uses of Class
neqsim.process.ml.RLEnvironment

Packages that use RLEnvironment

Package	Description
neqsim.process.ml	Machine Learning and AI integration for NeqSim.
neqsim.process.ml.examples	Example RL environments demonstrating NeqSim ML integration.
neqsim.util.validation	AI-friendly validation framework for NeqSim.

Uses of RLEnvironment in neqsim.process.ml

Methods in neqsim.process.ml that return RLEnvironment

Modifier and Type	Method	Description
RLEnvironment	RLEnvironment.addConstraint(String name, String variableName, double minValue, double maxValue, String unit)	Add a hard constraint.
RLEnvironment	RLEnvironment.defineAction(String name, double lowerBound, double upperBound, String unit)	Define an action dimension.
RLEnvironment	RLEnvironment.setMaxEpisodeTime(double maxTime)	Set maximum episode time.
RLEnvironment	RLEnvironment.setRewardWeights(double energy, double setpointError, double constraintViolation, double throughput)	Set reward weights.
RLEnvironment	RLEnvironment.setTimeStep(double dt)	Set simulation time step.

Uses of RLEnvironment in neqsim.process.ml.examples

Subclasses of RLEnvironment in neqsim.process.ml.examples

Modifier and Type	Class	Description
class	SeparatorLevelControlEnv	Example RL environment for separator level control.

Uses of RLEnvironment in neqsim.util.validation

Methods in neqsim.util.validation that return RLEnvironment

Modifier and Type	Method	Description
RLEnvironment	AIIntegrationHelper.createRLEnvironment()	Create an RL environment for the process.