- Load the folder into matlab. - Run the train_N_times function with, for example, the following line in the console: [~,~] = train_N_times(0.0, 0.5, 300, 'sarsa', 'linear', 50); The parameters are as follows: 1: epsilon start value. 2. learning rate (also used as discount factor) 3. number of trials within a training cycle 4. 'sarsa' or 'qlearn'. sarsa uses eligibility trace. 5. 'linear' or 'static' - defines the use of dynamic or static epsilon 6. N - number of training runs to make before averaging and plotting results.