Uses of Class
neqsim.process.ml.multiagent.MultiAgentEnvironment

Packages that use MultiAgentEnvironment

Package	Description
neqsim.process.ml.examples	Example RL environments demonstrating NeqSim ML integration.
neqsim.process.ml.multiagent	Multi-agent reinforcement learning infrastructure for coordinated process control.

Uses of MultiAgentEnvironment in neqsim.process.ml.examples

Subclasses of MultiAgentEnvironment in neqsim.process.ml.examples

Modifier and Type	Class	Description
class	SeparatorCompressorMultiAgentEnv	Multi-agent example: Separator + Compressor train.

Uses of MultiAgentEnvironment in neqsim.process.ml.multiagent

Methods in neqsim.process.ml.multiagent that return MultiAgentEnvironment

Modifier and Type	Method	Description
MultiAgentEnvironment	MultiAgentEnvironment.addAgent(Agent agent)	Add an agent to the environment.
MultiAgentEnvironment	MultiAgentEnvironment.setCoordinationMode(MultiAgentEnvironment.CoordinationMode mode)	Set coordination mode.
MultiAgentEnvironment	MultiAgentEnvironment.setMaxEpisodeSteps(int maxSteps)	Set maximum episode steps.
MultiAgentEnvironment	MultiAgentEnvironment.setSharedConstraints(ConstraintManager constraints)	Set shared constraints for all agents.