/// <summary>
/// Iterates over the training episodes
/// </summary>
/// <param name="epsilon">The epsilon value used to determine whether to perform exploration/exploitation</param>
/// <param name="overrideBaseEvents">Allows the caller to override default events</param>
protected virtual void RunTrainingSet(double epsilon, bool overrideBaseEvents)
{
for (int episode = 0; episode < NumberOfTrainingEpisodes; ++episode)
{
var episodeResults = RunTrainingEpisode(epsilon, overrideBaseEvents);
var state = episodeResults.finalState;
var moves = episodeResults.moves;
if (Environment.IsTerminalState(state, moves, MaximumAllowedMoves) &&
(1 + episode) % Environment.QualitySaveFrequency == 0)
{
var trainingEpisode = Environment.SaveQualityForEpisode(episode + 1, moves, Score);
TrainingSessions.Add(trainingEpisode);
}
if (UseDecayingEpsilon)
{
epsilon = DecayEpsilon(episode, epsilon);
}
if (!overrideBaseEvents)
{
OnTrainingEpisodeCompleted(episode, NumberOfTrainingEpisodes, _trainingEpisodeStartPoint, moves, Score, Environment.TerminalStates.Contains(state % Environment.StatesPerPhase));
}
}
}
public void InitializeSessions()
{
var trainingSessions = new List <TrainingSessionEx>();
var sessions = _agent.TrainingSessions.OrderBy(e => e.Episode).ToList();
var agent = MazeUtilities.ConvertLoadedAgent(_agent);
agent.Environment = MazeUtilities.CopyEnvironment(_agent.Environment);
agent.AgentCompleted += Agent_AgentCompleted;
for (int i = sessions.Count - 1; i >= 0; --i)
{
var session = new TrainingSessionEx
{
Episode = sessions[i].Episode,
Moves = sessions[i].Moves,
Quality = sessions[i].Quality,
Score = sessions[i].Score
};
_moves = 0;
_score = 0;
agent.Environment.QualityTable = session.Quality;
try
{
agent.Run(agent.StartPosition);
session.Succeeded = true;
}
catch
{
session.Succeeded = false;
}
session.Moves = _moves;
session.Score = _score;
trainingSessions.Add(session);
}
var selection = trainingSessions
.GroupBy(g => new
{
g.Moves,
g.Score,
g.Succeeded
})
.Select(t => new TrainingSessionEx()
{
MinEpisode = t.Last().Episode,
MaxEpisode = t.First().Episode,
Episode = t.Last().Episode,
Moves = t.Key.Moves,
Score = t.Key.Score,
Succeeded = t.Key.Succeeded,
Quality = t.First().Quality
});
trainingSessions = selection
.OrderByDescending(s => s.Succeeded)
.ThenByDescending(m => m.Moves)
.ThenByDescending(e => e.MinEpisode).ToList();
TrainingSessions = trainingSessions;
SelectedSession = TrainingSessions.FirstOrDefault();
agent.AgentCompleted -= Agent_AgentCompleted;
}