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tron
An implementation of tron with an AI Agent
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Source path:
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trunk
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Tron
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Tron
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Players
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Search
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IDSMiniMaxSearchPlayer.cs
‹r97
r123
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using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using Microsoft.Xna.Framework;
using Tron.DataStructures;
using Tron.Players.Simple;
using Tron.Players.Strategic;
namespace Tron.Players.Search
{
class IDSMiniMaxSearchPlayer : Player
{
#region Fields for situation when player is alone in connected component.
StrategicPlayer strategicPlayer;
StrategicPlayerHelper strategicPlayerHelper = new StrategicPlayerHelper();
bool opponentInSeperateComponent = false;
#endregion
public static readonly int EMPTY_BLOCK = Constants.EMPTY_BLOCK;
public static readonly int DEFAULT_TURN_TIME = 200;
int opponentIndex;
Vector2 bestMove;
int depthLimit = 3;
public override void GameOver(Percepts percepts, List<int> playerScores)
{
base.GameOver(percepts, playerScores);
opponentInSeperateComponent = false;
}
StrategicPlayerHelperHeuristic strategicPlayerHelperHeuristic = new StrategicPlayerHelperHeuristic();
public IDSMiniMaxSearchPlayer(int playerIndex)
: this(playerIndex, DEFAULT_TURN_TIME)
{
strategicPlayer = new StrategicPlayer(playerIndex);
}
/// <summary>
/// Constructs an iterative deepening alpha beta search player with the given player index and move time.
/// </summary>
/// <param name="moveTime">The time in milliseconds that the player is given to move</param>
public IDSMiniMaxSearchPlayer(int playerIndex, int moveTime)
: base(playerIndex) { }
public override void Update(Percepts percepts, Actions actions)
{
if (percepts.PlayerStates.Count != 2)
throw new NotImplementedException();
int[,] board = percepts.Board.GetCopyOfBoardArray();
opponentIndex = (PlayerIndex == 1) ? 0 : 1;
Vector2 playerPosition = percepts.PlayerStates[PlayerIndex].Position;
Vector2 opponentPosition = percepts.PlayerStates[opponentIndex].Position;
#region Handle situation when player is alone in connected component.
if (opponentInSeperateComponent || !percepts.PlayerStates[opponentIndex].Alive ||
strategicPlayerHelper.IsOpponentInSeperateComponent(board, playerPosition, opponentPosition))
{
opponentInSeperateComponent = true;
strategicPlayer.Update(percepts, actions);
return;
}
#endregion
actions.MoveDirection = minimaxSearch(board,playerPosition,opponentPosition);
}
Vector2 minimaxSearch(int[,] board, Vector2 playerPosition, Vector2 opponentPosition)
{
#region Null Checks (Commented)
//if (board == null) throw new NullReferenceException("percepts is null");
//if (agentLoc == null) throw new NullReferenceException("agentLoc is null");
//if (opponentLoc == null) throw new NullReferenceException("opponentLoc is null");
#endregion
#region Console Output (Commented)
//Console.WriteLine("MinimaxSearch:");
#endregion Console Output (Commented)
maxValue(board, 0, playerPosition, opponentPosition);
#region Console Output (Commented)
//Console.WriteLine(" agent location: {0}", playerPosition.ToString());
//Console.WriteLine(" opponent location: {0}", opponentPosition.ToString());
//Console.WriteLine(" SELECTED MOVE: {0}\n\n", bestMoves[savedIndex]);
#endregion
return bestMove;
}
double maxValue(int[,] board, int depth, Vector2 playerPosition, Vector2 opponentPosition)
{
double largestMin = Double.NegativeInfinity;
bool isTerminal = true;
if (depth < depthLimit)
{
List<Vector2> possibleMoveDirections = SimplePlayerHelper.GetPossibleDirectionsFromPosition(board, playerPosition);
if (possibleMoveDirections.Count > 0)
{
isTerminal = false;
foreach (Vector2 possibleMoveDirection in possibleMoveDirections)
{
Vector2 possibleNextPosition = playerPosition + possibleMoveDirection;
board[(int)possibleNextPosition.X, (int)possibleNextPosition.Y] = PlayerIndex;
double min = minValue(board, depth, possibleNextPosition, opponentPosition);
board[(int)possibleNextPosition.X, (int)possibleNextPosition.Y] = EMPTY_BLOCK;
if (min > largestMin)
{
largestMin = min;
if (depth == 0)
{
bestMove = possibleMoveDirection;
}
}
}
}
else
{
// MAX has no options. The utility here depends on whether MIN has any options (since MIN must go next).
if (SimplePlayerHelper.GetPossibleDirectionsFromPosition(board, opponentPosition).Count == 0)
{
return 0;
}
else
{
return -1;
}
}
}
if (isTerminal)
{
largestMin = GetUtilityOfPosition(board, playerPosition, opponentPosition, depth + 1, true);
}
return largestMin;
}
double minValue(int[,] board, int depth, Vector2 playerPosition, Vector2 opponentPosition)
{
double smallestMax = Double.PositiveInfinity;
bool isTerminal = true;
if (depth < depthLimit)
{
// Make sure to consider moving onto the other player if he is adjacent (since MIN moves second in the search).
List<Vector2> possibleMoveDirections = SimplePlayerHelper.GetPossibleDirectionsFromPositionIncludingInputPositionEvenIfItIsAWall(
board, opponentPosition, playerPosition);
if (possibleMoveDirections.Count > 0)
{
isTerminal = false;
foreach (Vector2 possibleMoveDirection in possibleMoveDirections)
{
Vector2 possibleNextPosition = opponentPosition + possibleMoveDirection;
if (possibleNextPosition == playerPosition)
{
// MIN moved onto MAX.
return 0;
}
board[(int)possibleNextPosition.X, (int)possibleNextPosition.Y] = opponentIndex;
double max = maxValue(board, depth + 1, playerPosition, possibleNextPosition);
board[(int)possibleNextPosition.X, (int)possibleNextPosition.Y] = EMPTY_BLOCK;
if (max < smallestMax)
{
smallestMax = max;
}
}
}
else
{
// MAX moved but MIN has no options.
return 1;
}
}
if (isTerminal)
{
smallestMax = GetUtilityOfPosition(board, playerPosition, opponentPosition, depth, false);
}
return smallestMax;
}
/// <summary>
/// Returns a value between -1 and 1 that estimates how good a state is for a player.
/// -1 must be returned if the player has lost.
/// 0 must be returned if the player has tied.
/// 1 must be returned if the player has won.
/// </summary>
/// <param name="calledFromMax">Decides whether a player collision is a -1 (from min) or a 0 (from max)</param>
/// <returns></returns>
private double GetUtilityOfPosition(int[,] board, Vector2 playerPosition, Vector2 opponentPosition, int depth, bool calledFromMax)
{
return strategicPlayerHelperHeuristic.Evaluate(board, depth, playerPosition, opponentPosition, true);
}
}
}
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r100
by shieldshock on Dec 11, 2008
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r97
by shieldshock on Dec 9, 2008
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r93
by shieldshock on Dec 9, 2008
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r90
by shieldshock on Dec 9, 2008
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