the size of vehicles, and load factors. The model features complementary networks, scheduling, price elastic demands, and …

stochastic state variable. Retrieval of these experiences is probabilistic and subject to error. We apply the model to scheduling …

Recent empirical work has suggested that there is an important distinction between short-run versus long-run scheduling …. This paper investigates whether this distinction between short-run and long-run scheduling decisions affect optimal pricing …

We examine recent claims that a particular Q-learning algorithm used by competitors 'autonomously' and systematically … detailed analysis of the inner workings of this algorithm reveals that there is no immediate reason for alarm. We set out what … is needed to demonstrate the existence of a colluding price algorithm that does form a threat to competition. …