Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management
Learning from Snapshots Is Not Enough: An Even-Driven Continuous-Time Reinforcement Learning Framework Revenue management systems evolve continuously, but reinforcement learning often requires dividing time into a fixed grid. Fine grids improve accuracy but increase computation; coarse grids can sacrifice performance....