Reinforcement Learning, Artificial Intelligence, Machine Learning, Data Science, Statistics.
action is taken in the evening #curr_state is state_mon add_to_dict(curr_state, valid_actions(curr_state)) #reward is not calculated for the immediately next day time_step = 0 reward = None curr_action = np.random.choice(np.arange(0,m+1)) #randomly choosing and action #curr_action is a_mon