Rajani, Chang

5 publications

TMLR 2024 Contextual Policies Enable Efficient and Interpretable Inverse Reinforcement Learning for Populations Ville Tanskanen, Chang Rajani, Perttu Hämäläinen, Christian Guckelsberger, Arto Klami

AAAI 2023 Co-Imitation: Learning Design and Behaviour by Imitation Chang Rajani, Karol Arndt, David Blanco Mulero, Kevin Sebastian Luck, Ville Kyrki

NeurIPSW 2022 Co-Imitation: Learning Design and Behaviour by Imitation Chang Rajani, Karol Arndt, David Blanco-Mulero, Kevin Sebastian Luck, Ville Kyrki

ACML 2021 Modeling Risky Choices in Unknown Environments Ville Tanskanen, Chang Rajani, Homayun Afrabandpey, Aini Putkonen, Aurélien Nioche, Arto Klami

UAI 2020 Sensor Placement for Spatial Gaussian Processes with Integral Observations Krista Longi, Chang Rajani, Tom Sillanpää, Joni Mäkinen, Timo Rauhala, Ari Salmi, Edward Haeggström, Arto Klami