Wilko Schwarting

Engineering · Physical Sciences

19h-index2.6kcitations48works1.52yr avg
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Research Topics

Autonomous Vehicle Technology and Safety(18), Reinforcement Learning in Robotics(14), Robotic Path Planning Algorithms(11), Traffic control and management(7), Adversarial Robustness in Machine Learning(6)

Publications48 total

Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning
arXiv (Cornell University)·2024Open Access
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution
arXiv (Cornell University)·2024Open Access
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision
arXiv (Cornell University)·2024Open Access
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision
2024· 6 cited
Solving Continuous Control via Q-learning
arXiv (Cornell University)·2022· 3 citedOpen Access
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
2022 International Conference on Robotics and Automation (ICRA)·2022· 69 cited
Learning Interactive Driving Policies via Data-driven Simulation
2022 International Conference on Robotics and Automation (ICRA)·2022· 16 cited
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
arXiv (Cornell University)·2022· 1 citedOpen Access
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models
arXiv (Cornell University)·2022· 29 citedOpen Access
Learning Interactive Driving Policies via Data-driven Simulation
arXiv (Cornell University)·2021Open Access
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
arXiv (Cornell University)·2021· 1 citedOpen Access
Is Bang-Bang Control All You Need? Solving Continuous Control with\n Bernoulli Policies
arXiv (Cornell University)·2021· 15 citedOpen Access
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
arXiv (Cornell University)·2021· 3 citedOpen Access
Semi-Cooperative Control for Autonomous Emergency Vehicles
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)·2021· 10 cited
Stochastic Dynamic Games in Belief Space
IEEE Transactions on Robotics·2021· 8 citedOpen Access
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
arXiv (Cornell University)·2021· 3 citedOpen Access
Deep Latent Competition: Learning to Race Using Visual Control Policies\n in Latent Space
arXiv (Cornell University)·2021· 10 citedOpen Access
Learning and control for interactions in mixed human-robot environments
2021· 2 cited
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via\n Latent Model Ensembles
arXiv (Cornell University)·2020Open Access
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
arXiv (Cornell University)·2020· 1 citedOpen Access
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Frequent Co-authors

Daniela Rus(39), Sertaç Karaman(27), Igor Gilitschenski(11), Alyssa Pierson(10), Tim Seyde(10), Javier Alonso–Mora(9), Alexander Amini(8), Tsun-Hsuan Wang(4), Lucas Liebenwein(4), Markus Wulfmeier(4), Ava P. Soleimany(3), Marcelo H. Ang(3), Noam Buckman(3), Martin Riedmiller(3), Alex Wallar(3), Ryan Sander(3), Liam Paull(2), Brandon Araki(2), Hans Andersen(2), Felix Naser(2)