| 12 | using namespace rl; |
| 13 | |
| 14 | QLearn::QLearn(net::NeuralNet *modelNetwork, net::Trainer *trainer_, double learningRate_, double devaluationFactor_, std::vector<Action> possibleActions_) { |
| 15 | trainer = trainer_; |
| 16 | learningRate = learningRate_; |
| 17 | devaluationFactor = devaluationFactor_; |
| 18 | |
| 19 | models = std::vector<Model>(possibleActions_.size()); |
| 20 | for(unsigned int a = 0; a < possibleActions_.size(); a++) models[a] = (Model(new net::NeuralNet(modelNetwork), possibleActions_[a])); |
| 21 | } |
| 22 | |
| 23 | QLearn::QLearn(std::vector<Model> models_, net::Trainer *trainer_, double learningRate_, double devaluationFactor_) { |
| 24 | models = models_; |