3 papers
cs.LG2022
Informed Priors for Knowledge Integration in Trajectory Prediction
Christian Schlauch, Nadja Klein, Christian Wirth
Informed machine learning methods allow the integration of prior knowledge into learning systems. This can increase accuracy and robustness or reduce data needs. However, existing…
cs.LG2020
Learning to Switch Among Agents in a Team via 2-Layer Markov Decision Processes
Vahid Balazadeh, Abir De, Adish Singla +1
Reinforcement learning agents have been mostly developed and evaluated under the assumption that they will operate in a fully autonomous manner -- they will take all actions. In th…
cs.LG2019
Regression Under Human Assistance
Abir De, Nastaran Okati, Paramita Koley +2
Decisions are increasingly taken by both humans and machine learning models. However, machine learning models are currently trained for full automation -- they are not aware that s…