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most citedNavigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning

2 citations · 2 across the 6 of their papers we have counts for

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cs.LG2025

Planning and Learning in Average Risk-aware MDPs

Weikai Wang, Erick Delage

For continuing tasks, average cost Markov decision processes have well-documented value and can be solved using efficient algorithms. However, it explicitly assumes that the agent…

cs.LG2025★ 2 cited

Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning

Jaike van Twiller, Yossiri Adulyasak, Erick Delage +2

Reinforcement learning (RL) has successfully solved various deterministic and stochastic planning problems. However, conventional RL struggles with complex real-world constraints,…