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cs.LG2025
Integrating Human Knowledge Through Action Masking in Reinforcement Learning for Operations Research
Mirko Stappert, Bernhard Lutz, Niklas Goby +1
Reinforcement learning (RL) provides a powerful method to address problems in operations research. However, its real-world application often fails due to a lack of user acceptance…
cs.LG2018
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic
Mark Schutera, Niklas Goby, Dirk Neumann +1
Transportation and traffic are currently undergoing a rapid increase in terms of both scale and complexity. At the same time, an increasing share of traffic participants are being…