嵌入 Q Learning 算法的超酷神经网络的 MATLAB 代码.rar

socialLearningSimulator ======================= MATLAB code for a cool neural network embedded in a Q Learning algorithm This was used in my Final Year Project in the university. Please use it however you want. I have input a lot of hours into this. If you'd like to alter something to improve it go for it. If you have any questions you can contact me if you want and I will try to reply as soon as possible. ===================================================================== Please check out Appendix E for User Manual on how to install. ===================================================================== -Right Answers (rightAnswers) - Row vector of correct answers. Should be a binary vector. Contained in a file called “RightAnswers.dat”. • Social Input (socIn) - Row vector of social input for each question. Should be a binary vector. • Social Input Weight (socInWeight) - The amount social input is considered. Should be a number from 0 to 0.9. • Momentum (momentum - The rate of change of the left and right quality changes. This allows the neural network to handle volatility. • Reward Amount (rewardAmount) - Reward received per correct answer. • Discount (gamma) - The discount factor determines the importance of future rewards. • Initial Learning Rate (alpha or epsilon) - The initial learning rate. - The value of Q from the previous iteration. • oldQInc - The amount Q changed in the previous iteration. ===================================================================== • RightAnswers.dat - contains the dataset for answers • RunAgentGui.fig - graphics for GUI • RunAgentGui.m - launcher file, which launches GUI • runTest.m - this is where all the data gets run through the neural network • updateQBlock.m - Q Learning bit of the algorithm (gets called from runTest.m)