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05/22/2023
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows
Towards safe autonomous driving (AD), we consider the problem of learnin...
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03/03/2022
Fail-Safe Generative Adversarial Imitation Learning
For flexible yet safe imitation learning (IL), we propose a modular appr...
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08/17/2020
Multiagent trajectory models via game theory and implicit layer-based learning
For prediction of interacting agents' trajectories, we propose an end-to...
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03/02/2020
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift
Learning from demonstrations (LfD) is an efficient paradigm to train AI ...
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03/16/2018
Coordination via predictive assistants from a game-theoretic view
We study machine learning-based assistants that support coordination bet...
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06/14/2016
Experimental and causal view on information integration in autonomous agents
The amount of digitally available but heterogeneous information about th...
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03/04/2016
Causal inference for cloud computing
Cloud computing involves complex technical and economical systems and in...
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11/14/2014
