Yi-Heng Liu

RAPO-RL-TAC: Risk-Aware Partial-Order Reinforcement Learning with Timed Automata Completion for the Interval Job Shop Problem

In the Interval Job Shop Problem (IJSP), operation processing times are represented by intervals, making machine-sequencing decisions sensitive to temporal uncertainty. We propose Risk-Aware Partial-Order Reinforcement Learning with Timed Automata Completion (RAPO-RL-TAC), which couples Risk-Aware Partial-Order Reinfor...