SampleApp.MainForm.ShowSolutionThread C# (CSharp) Method

        private void ShowSolutionThread( )
        {
            // set exploration rate to 0, so agent uses only what he learnt
            TabuSearchExploration tabuPolicy = null;
            EpsilonGreedyExploration exploratioPolicy = null;

            if ( qLearning != null )
                tabuPolicy = (TabuSearchExploration) qLearning.ExplorationPolicy;
            else
                tabuPolicy = (TabuSearchExploration) sarsa.ExplorationPolicy;

            exploratioPolicy = (EpsilonGreedyExploration) tabuPolicy.BasePolicy;

            exploratioPolicy.Epsilon = 0;
            tabuPolicy.ResetTabuList( );

            // curent coordinates of the agent
            int agentCurrentX = agentStartX, agentCurrentY = agentStartY;

            // pripate the map to display
            Array.Copy( map, mapToDisplay, mapWidth * mapHeight );
            mapToDisplay[agentStartY, agentStartX] = 2;
            mapToDisplay[agentStopY, agentStopX] = 3;

            while ( !needToStop )
            {
                // dispay the map
                cellWorld.Map = mapToDisplay;
                // sleep for a while
                Thread.Sleep( 200 );

                // check if we have reached the end point
                if ( ( agentCurrentX == agentStopX ) && ( agentCurrentY == agentStopY ) )
                {
                    // restore the map
                    mapToDisplay[agentStartY, agentStartX] = 2;
                    mapToDisplay[agentStopY, agentStopX] = 3;

                    agentCurrentX = agentStartX;
                    agentCurrentY = agentStartY;

                    cellWorld.Map = mapToDisplay;
                    Thread.Sleep( 200 );
                }

                // remove agent from current position
                mapToDisplay[agentCurrentY, agentCurrentX] = 0;

                // get agent's current state
                int currentState = GetStateNumber( agentCurrentX, agentCurrentY );
                // get the action for this state
                int action = ( qLearning != null ) ? qLearning.GetAction( currentState ) : sarsa.GetAction( currentState );
                // update agent's current position and get his reward
                double reward = UpdateAgentPosition( ref agentCurrentX, ref agentCurrentY, action );

                // put agent to the new position
                mapToDisplay[agentCurrentY, agentCurrentX] = 2;
            }

            // enable settings controls
            EnableControls( true );
        }