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Fair collaborative vehicle routing: A deep multi-agent reinforcement learning approach
Our contribution is that we are the first to consider both the route allocation problem and gain sharing problem simultaneously - without access to the expensive characteristic function.
Coalitional Bargaining via Reinforcement Learning: An Application to Collaborative Vehicle Routing
Our contribution is that our decentralised approach is both scalable and considers the self-interested nature of companies.
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