public override PlayerTask GetMove(POGame game)
{
var player = game.CurrentPlayer;
// Implement a simple Mulligan Rule
if (player.MulliganState == Mulligan.INPUT)
{
List <int> mulligan = new WeightedScore().MulliganRule().Invoke(player.Choice.Choices.Select(p => game.getGame().IdEntityDic[p]).ToList());
return(ChooseTask.Mulligan(player, mulligan));
}
//Lookhead n steps and choose the best scoring <PlayerTask> and each depth -> branch ->score->until depth
//(DFS search)
var validOpts = game.Simulate(player.Options()).Where(x => x.Value != null);
var voptcount = validOpts.Count();
if (validOpts.Any())
{
var depth = voptcount > 5 ? (voptcount > 25 ? 1: 2) : 3;
var scored = validOpts.Select(x => Simulate(x, player.PlayerId, depth));
// Array.ForEach(scored.Select(x=>x.Item1).ToArray(),Console.Write);
// Console.Write($"\r{scored.Count()} ");
return(scored.OrderBy(x => x.Value).Last().Key);
}
else
{
return(player.Options().First(x => x.PlayerTaskType == PlayerTaskType.END_TURN));
}
}
public int CompareTo(CodecMatch other)
{
if (other?.CodecRegistration == null)
{
return(1);
}
if (ReferenceEquals(this, other))
{
return(0);
}
if (WeightedScore == other.WeightedScore)
{
return(MatchingParameterCount == other.MatchingParameterCount
? MediaType.CompareTo(other.MediaType)
: MatchingParameterCount.CompareTo(other.MatchingParameterCount));
}
return(WeightedScore.CompareTo(other.WeightedScore));
}
/// <summary>
/// Returns a instance of a Hearthstone agent based on the profited card class and agent type.
/// The card class of the hero is key for configuring the agent correctly, especially the predator MCTS.
/// </summary>
/// <param name="cardClass">the card class of the agent's hero</param>
/// <param name="deck">the deck of the agent</param>
/// <param name="type">the type of agent</param>
/// <returns></returns>
public AbstractAgent GetAgent(CardClass cardClass, List <Card> deck, AgentType type)
{
double simulationTime = 15000;
IScore scoring = new WeightedScore();
AbstractAgent agent = new ExhaustiveSeachAgent(10, 200, scoring);
switch (type)
{
case AgentType.FlatMCTS:
agent = new FlatMCAgent(scoring);
break;
case AgentType.MCTS:
/*agent = new MCTSAgent(scoring,
* new MCTSParameters
* {
* SimulationTime = simulationTime,
* AggregationTime = 100,
* RolloutDepth = 5,
* UCTConstant = 9000
* });*/
break;
case AgentType.PredatorMCTS:
// the default decks
if (cardClass == CardClass.WARRIOR)
{
Console.WriteLine("Aggro Deck");
agent = new PredatorMCTSAgent(scoring,
new MCTSParameters
{
SimulationTime = simulationTime,
AggregationTime = 100,
RolloutDepth = 5,
UCTConstant = 9000
},
new PredictionParameters
{
File = Environment.CurrentDirectory + @"\src\Bigramms\bigramm_1-2017-12-2016.json.gz",
DecayFactor = 1,
CardCount = 10,
StepWidth = 2,
DeckCount = 1,
SetCount = 3,
LeafCount = 5,
SimulationDepth = 1,
OverallLeafCount = 5
});
}
else if (cardClass == CardClass.SHAMAN)
{
agent = new PredatorMCTSAgent(scoring,
new MCTSParameters
{
SimulationTime = simulationTime,
AggregationTime = 100,
RolloutDepth = 5,
UCTConstant = 9000
},
new PredictionParameters
{
File = Environment.CurrentDirectory + @"\src\Bigramms\bigramm_1-2017-12-2016.json.gz",
DecayFactor = 1,
CardCount = 10,
StepWidth = 2,
DeckCount = 1,
SetCount = 3,
LeafCount = 5,
SimulationDepth = 3,
OverallLeafCount = 5
});
}
else if (cardClass == CardClass.MAGE)
{
agent = new PredatorMCTSAgent(scoring,
new MCTSParameters
{
SimulationTime = simulationTime,
AggregationTime = 100,
RolloutDepth = 5,
UCTConstant = 9000
},
new PredictionParameters
{
File = Environment.CurrentDirectory + @"\src\Bigramms\bigramm_1-2017-12-2016.json.gz",
DecayFactor = 1,
CardCount = 10,
StepWidth = 2,
DeckCount = 1,
SetCount = 3,
LeafCount = 5,
SimulationDepth = 5,
OverallLeafCount = 5
});
}
else if (cardClass == CardClass.WARLOCK)
{
agent = new PredatorMCTSAgent(scoring,
new MCTSParameters
{
SimulationTime = simulationTime,
AggregationTime = 100,
RolloutDepth = 5,
UCTConstant = 9000
},
new PredictionParameters
{
File = Environment.CurrentDirectory + @"\src\Bigramms\bigramm_3-2018-10-2017.json.gz",
DecayFactor = 1,
CardCount = 10,
StepWidth = 2,
DeckCount = 1,
SetCount = 3,
LeafCount = 5,
SimulationDepth = 1,
OverallLeafCount = 5
});
}
break;
}
;
return(agent);
}
