C# Class Monopoly.RLHandlers.RLAgent

Inheritance: Monopoly.Classes.Player

Mostra file Open project: pmpailis/RLMonopoly

Public Properties

Property	Type	Description
currentEpoch	int
traces	List

Public Methods

Method	Description
RLAgent ( ) : System
agent_changeCurrentState ( Observation obs ) : void
agent_cleanup ( ) : void
agent_end ( double reward ) : void
agent_init ( char type, bool policy, string agentName, int inputCount ) : void
agent_start ( Observation observation ) : int
agent_step ( Observation observation, double reward ) : int
createInput ( Observation observation, int action ) : double[]
getNeural ( ) : NeuronDotNet.Core.Network
getRentPayment ( int cp ) : int
getType ( ) : char
initParams ( ) : void
saveOnFile ( string path ) : void
setNeural ( NeuronDotNet.Core.Network net ) : void

Private Methods

Method	Description
Qlearning ( Observation p_lastState, Monopoly p_lastAction, Observation newState, Monopoly bestAction, double reward ) : double
Sarsa ( Observation lastState, Monopoly lastAction, Observation newState, Monopoly newAction, double reward ) : double
calculateQValues ( Observation obs ) : double[]
checkStateSimilarity ( Observation obs1, Observation obs2 ) : bool
e_greedySelection ( double QValues ) : int
findMaxValues ( double tempQ ) : int
randomAction ( ) : int
trainNeural ( double input, double output ) : void
updateQTraces ( Observation obs, Monopoly a, double reward ) : bool
updateSTraces ( Observation obs, Monopoly a ) : bool

Method Details

RLAgent() public method

public RLAgent ( ) : System
return	System

agent_changeCurrentState() public method

public agent_changeCurrentState ( Observation obs ) : void
obs	Monopoly.RLClasses.Observation
return	void

agent_cleanup() public method

public agent_cleanup ( ) : void
return	void

agent_end() public method

public agent_end ( double reward ) : void
reward	double
return	void

agent_init() public method

public agent_init ( char type, bool policy, string agentName, int inputCount ) : void
type	char
policy	bool
agentName	string
inputCount	int
return	void

agent_start() public method

public agent_start ( Observation observation ) : int
observation	Monopoly.RLClasses.Observation
return	int

agent_step() public method

public agent_step ( Observation observation, double reward ) : int
observation	Monopoly.RLClasses.Observation
reward	double
return	int

createInput() public method

public createInput ( Observation observation, int action ) : double[]
observation	Monopoly.RLClasses.Observation
action	int
return	double[]

getNeural() public method

public getNeural ( ) : NeuronDotNet.Core.Network
return	NeuronDotNet.Core.Network

getRentPayment() public method

public getRentPayment ( int cp ) : int
cp	int
return	int

getType() public method

public getType ( ) : char
return	char

initParams() public method

public initParams ( ) : void
return	void

saveOnFile() public method

public saveOnFile ( string path ) : void
path	string
return	void

setNeural() public method

public setNeural ( NeuronDotNet.Core.Network net ) : void
net	NeuronDotNet.Core.Network
return	void

Property Details

currentEpoch public_oe property

public int currentEpoch
return	int

traces public_oe property

public List traces
return	List