FIELD NOTES TOPIC
dynamic pricing
2 notes, newest first.
Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets
Researchers propose a new approach for dynamic pricing in liberalized railway systems using Relational Multi-Agent Reinforcement Learning (RL). The method models the environment as a graph, process features of entities…
Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks
A research paper proposes a multi-agent deep reinforcement learning framework to address challenges in multimodal transportation systems, particularly regarding shared mobility services (SMSs) demand concentration and…
