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Found 5 papers, 1 papers with code
The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs
Finally, results show that deploying UAVs can play a crucial role in the allocation of relief goods, especially in the first stages after a disaster.
Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces
Large discrete action spaces (LDAS) remain a central challenge in reinforcement learning.
Strategic bidding in freight transport using deep reinforcement learning
Risk-seeking behavior may increase an agent's reward share, as long as the strategies are not overly aggressive.
Smart Containers With Bidding Capacity: A Policy Gradient Algorithm for Semi-Cooperative Learning
In this self-organizing setting, containers can autonomously place bids on transport services in a spot market setting.
Approximate Dynamic Programming with Neural Networks in Linear Discrete Action Spaces
The neural network VFAs consistently outperform polynomial VFAs, with limited design and tuning effort.
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