public MCTSSolver(Domain dom, Heuristic h) { this.dom = dom; this.h = h; this.root = TreeNode.createRoot(dom.initialState); TreeNode.dom = dom; TreeNode.solver = this; //TODO only 1 MCTS solver may run at the same time!! bestPlan = null; bestValue = int.MaxValue; //this.perfoHeuristic = new BestPerformancePolicy(dom); this.maxSimulationLength = 50; //Heuristic simulationHeuristic = new WeightedHeuristic(new NotAccomplishedGoalCount(dom), 10); Heuristic simulationHeuristic = new WeightedHeuristic(new FFHeuristic(dom), 10); //this.simulationPolicy = new RandomSimulationPolicy(dom, maxSimulationLength); //this.simulationPolicy = new HeuristicGreedySearch(new NotAccomplishedGoalCount(dom), dom, maxSimulationLength); //this.simulationPolicy = new HeuristicGreedySearch(new FFHeuristic(dom), dom, maxSimulationLength); //this.simulationPolicy = new AStarSimulationPolicy(simulationHeuristic, dom, maxSimulationLength); //this.simulationPolicy = new F_LimitedAStarSimulationPolicy(simulationHeuristic, dom, maxSimulationLength, 2 * maxSimulationLength); //this.simulationPolicy = new BeamSearchPolicy(simulationHeuristic, dom, 2); CompositeSimulationPolicy policy = new CompositeSimulationPolicy(); policy.addPolicy(new RandomSimulationPolicy(dom, maxSimulationLength)); policy.addPolicy(new HeuristicGreedySearch(new FFHeuristic(dom), dom, maxSimulationLength)); policy.addPolicy(new AStarSimulationPolicy(simulationHeuristic, dom, maxSimulationLength)); policy.addPolicy(new BeamSearchPolicy(simulationHeuristic, dom, 2)); this.simulationPolicy = policy; this.ev = new HeuristicPlanEvaluator(dom, h, maxSimulationLength); }
public void addPolicy(SimulationPolicy p) { policies.Add(p); }
internal void runSimulation(SimulationPolicy simulationPolicy, int maxSimulationLength) { this.value = 0; this.isEvaluated = false; List <int> result = simulationPolicy.runSimulation(this, maxSimulationLength); }
public override List <int> runSimulation(Plan p, int maxSimulationLength) { SimulationPolicy pol = policies[r.Next(policies.Count)]; return(pol.runSimulation(p, maxSimulationLength)); }