Wilko Schwarting

According to our database, Wilko Schwarting authored at least 41 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision.

Rahul Ahuja, Chris L. Baker, Wilko Schwarting

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Do no harm: A counterfactual approach to safe reinforcement learning.

Sean Vaskov, Wilko Schwarting, Chris L. Baker

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Growing Q-networks: Solving continuous control tasks with adaptive control resolution.

Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Solving Continuous Control via Q-learning.

Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation.

Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus

Proceedings of the Conference on Robot Learning, 2023

2022

Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models.

José L. Vázquez, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool

CoRR, 2022

Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks.

Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus

Proceedings of the Learning for Dynamics and Control Conference, 2022

Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models.

Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool

Proceedings of the Learning for Dynamics and Control Conference, 2022

Learning Interactive Driving Policies via Data-driven Simulation.

Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles.

Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Stochastic Dynamic Games in Belief Space.

Wilko Schwarting, Alyssa Pierson, Sertac Karaman, Daniela Rus

IEEE Trans. Robotics, 2021

Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies.

Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Semi-Cooperative Control for Autonomous Emergency Vehicles.

Noam Buckman, Wilko Schwarting, Sertac Karaman, Daniela Rus

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles.

Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Strength Through Diversity: Robust Behavior Learning via Mixture Policies.

Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Deep Evidential Regression.

Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Plan via Deep Optimistic Value Exploration.

Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Safe Path Planning with Multi-Model Risk Level Sets.

Zefan Huang, Wilko Schwarting, Alyssa Pierson, Hongliang Guo, Marcelo H. Ang, Daniela Rus

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Weighted Buffered Voronoi Cells for Distributed Semi-Cooperative Behavior.

Alyssa Pierson, Wilko Schwarting, Sertac Karaman, Daniela Rus

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Deep Orientation Uncertainty Learning based on a Bingham Loss.

Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus

Proceedings of the 8th International Conference on Learning Representations, 2020

Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space.

Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Social behavior for autonomous vehicles.

Wilko Schwarting, Alyssa Pierson, Javier Alonso-Mora, Sertac Karaman, Daniela Rus

Proc. Natl. Acad. Sci. USA, 2019

Learning Risk Level Set Parameters from Data Sets for Safer Driving.

Alyssa Pierson, Wilko Schwarting, Sertac Karaman, Daniela Rus

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Optimizing Multi-class Fleet Compositions for Shared Mobility-as-a-Service.

Alex Wallar, Wilko Schwarting, Javier Alonso-Mora, Daniela Rus

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Range-based Cooperative Localization with Nonlinear Observability Analysis.

Brandon Araki, Igor Gilitschenski, Tatum Ogata, Alex Wallar, Wilko Schwarting, Zareen Choudhury, Sertac Karaman, Daniela Rus

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Sharing is Caring: Socially-Compliant Autonomous Intersection Negotiation.

Noam Buckman, Alyssa Pierson, Wilko Schwarting, Sertac Karaman, Daniela Rus

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Dynamic Risk Density for Autonomous Navigation in Cluttered Environments without Object Detection.

Alyssa Pierson, Cristian Ioan Vasile, Anshula Gandhi, Wilko Schwarting, Sertac Karaman, Daniela Rus

Proceedings of the International Conference on Robotics and Automation, 2019

Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure.

Alexander Amini, Ava P. Soleimany, Wilko Schwarting, Sangeeta N. Bhatia, Daniela Rus

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model.

Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, Daniela Rus

IEEE Trans. Intell. Transp. Syst., 2018

Learning Object Grasping for Soft Robot Hands.

Changhyun Choi, Wilko Schwarting, Joseph DelPreto, Daniela Rus

IEEE Robotics Autom. Lett., 2018

Planning and Decision-Making for Autonomous Vehicles.

Wilko Schwarting, Javier Alonso-Mora, Daniela Rus

Annu. Rev. Control. Robotics Auton. Syst., 2018

Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing.

Alexander Amini, Wilko Schwarting, Guy Rosman, Brandon Araki, Sertac Karaman, Daniela Rus

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Joint Multi-Policy Behavior Estimation and Receding-Horizon Trajectory Planning for Automated Urban Driving.

Bingyu Zhou, Wilko Schwarting, Daniela Rus, Javier Alonso-Mora

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Navigating Congested Environments with Risk Level Sets.

Alyssa Pierson, Wilko Schwarting, Sertac Karaman, Daniela Rus

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Training Support Vector Machines using Coresets.

Cenk Baykal, Lucas Liebenwein, Wilko Schwarting

CoRR, 2017

Detection of AQM on Paths using Machine Learning Methods.

Cenk Baykal, Wilko Schwarting, Alex Wallar

CoRR, 2017

A parallel autonomy research platform.

Felix Naser, David L. Dorhout, Stephen Proulx, Scott Drew Pendleton, Hans Andersen, Wilko Schwarting, Liam Paull, Javier Alonso-Mora, Marcelo H. Ang, Sertac Karaman, Russ Tedrake, John J. Leonard, Daniela Rus

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Trajectory optimization for autonomous overtaking with visibility maximization.

Hans Andersen, Wilko Schwarting, Felix Naser, You Hong Eng, Marcelo H. Ang, Daniela Rus, Javier Alonso-Mora

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Compositional and Contract-Based Verification for Autonomous Driving on Road Networks.

Lucas Liebenwein, Wilko Schwarting, Cristian Ioan Vasile, Jonathan A. DeCastro, Javier Alonso-Mora, Sertac Karaman, Daniela Rus

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention.

Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, Daniela Rus

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2014

Recursive conflict resolution for cooperative motion planning in dynamic highway traffic.

Wilko Schwarting, Patrick Pascheka

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014