A continuous-time RL framework for intensity control in choice-based network revenue management outperforms discretization-based methods while scaling to large problems.
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Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management
A continuous-time RL framework for intensity control in choice-based network revenue management outperforms discretization-based methods while scaling to large problems.