Wilko Schwarting

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 52

Top Topics

Latent Structure

Scene Flow Estimation

Top Venues

Publications

Rahul Ahuja, Chris L. Baker, Wilko Schwarting
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision. WACV (2024)
Sean Vaskov, Wilko Schwarting, Chris L. Baker
Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning. CoRR (2024)
Sean Vaskov, Wilko Schwarting, Chris L. Baker
Do no harm: A counterfactual approach to safe reinforcement learning. L4DC (2024)
Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution. CoRR (2024)
Rahul Ahuja, Chris Baker, Wilko Schwarting
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision. CoRR (2024)
Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
Growing Q-networks: Solving continuous control tasks with adaptive control resolution. L4DC (2024)
Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. CoRL (2023)
Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
Solving Continuous Control via Q-learning. ICLR (2023)
Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
Solving Continuous Control via Q-learning. CoRR (2022)
Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. L4DC (2022)
Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. L4DC (2022)
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. ICRA (2022)
Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. CoRR (2022)
José L. Vázquez, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. CoRR (2022)
Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Learning Interactive Driving Policies via Data-driven Simulation. ICRA (2022)
Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. CoRL (2021)
Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus
Strength Through Diversity: Robust Behavior Learning via Mixture Policies. CoRL (2021)
Wilko Schwarting, Alyssa Pierson, Sertac Karaman, Daniela Rus
Stochastic Dynamic Games in Belief Space. IEEE Trans. Robotics 37 (6) (2021)
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. CoRR (2021)
Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRR (2021)
Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. CoRR (2021)
Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. NeurIPS (2021)
Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Learning Interactive Driving Policies via Data-driven Simulation. CoRR (2021)
Noam Buckman, Wilko Schwarting, Sertac Karaman, Daniela Rus
Semi-Cooperative Control for Autonomous Emergency Vehicles. IROS (2021)
Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRL (2020)
Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus
Deep Orientation Uncertainty Learning based on a Bingham Loss. ICLR (2020)
Alyssa Pierson, Wilko Schwarting, Sertac Karaman, Daniela Rus
Weighted Buffered Voronoi Cells for Distributed Semi-Cooperative Behavior. ICRA (2020)
Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus
Learning to Plan via Deep Optimistic Value Exploration. L4DC (2020)
Zefan Huang, Wilko Schwarting, Alyssa Pierson, Hongliang Guo, Marcelo H. Ang, Daniela Rus
Safe Path Planning with Multi-Model Risk Level Sets. IROS (2020)
Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus
Deep Evidential Regression. NeurIPS (2020)
Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. CoRR (2020)
Wilko Schwarting, Alyssa Pierson, Sertac Karaman, Daniela Rus
Stochastic Dynamic Games in Belief Space. CoRR (2019)
Alyssa Pierson, Wilko Schwarting, Sertac Karaman, Daniela Rus
Learning Risk Level Set Parameters from Data Sets for Safer Driving. IV (2019)
Alyssa Pierson, Cristian Ioan Vasile, Anshula Gandhi, Wilko Schwarting, Sertac Karaman, Daniela Rus
Dynamic Risk Density for Autonomous Navigation in Cluttered Environments without Object Detection. ICRA (2019)
Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus
Deep Evidential Regression. CoRR (2019)
Wilko Schwarting, Alyssa Pierson, Javier Alonso-Mora, Sertac Karaman, Daniela Rus
Social behavior for autonomous vehicles. Proc. Natl. Acad. Sci. USA 116 (50) (2019)
Alexander Amini, Ava P. Soleimany, Wilko Schwarting, Sangeeta N. Bhatia, Daniela Rus
Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure. AIES (2019)
Brandon Araki, Igor Gilitschenski, Tatum Ogata, Alex Wallar, Wilko Schwarting, Zareen Choudhury, Sertac Karaman, Daniela Rus
Range-based Cooperative Localization with Nonlinear Observability Analysis. ITSC (2019)
Alex Wallar, Wilko Schwarting, Javier Alonso-Mora, Daniela Rus
Optimizing Multi-class Fleet Compositions for Shared Mobility-as-a-Service. ITSC (2019)
Noam Buckman, Alyssa Pierson, Wilko Schwarting, Sertac Karaman, Daniela Rus
Sharing is Caring: Socially-Compliant Autonomous Intersection Negotiation. IROS (2019)
Alexander Amini, Wilko Schwarting, Guy Rosman, Brandon Araki, Sertac Karaman, Daniela Rus
Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing. IROS (2018)
Bingyu Zhou, Wilko Schwarting, Daniela Rus, Javier Alonso-Mora
Joint Multi-Policy Behavior Estimation and Receding-Horizon Trajectory Planning for Automated Urban Driving. ICRA (2018)
Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, Daniela Rus
Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model. IEEE Trans. Intell. Transp. Syst. 19 (9) (2018)
Wilko Schwarting, Javier Alonso-Mora, Daniela Rus
Planning and Decision-Making for Autonomous Vehicles. Annu. Rev. Control. Robotics Auton. Syst. 1 (2018)
Alyssa Pierson, Wilko Schwarting, Sertac Karaman, Daniela Rus
Navigating Congested Environments with Risk Level Sets. ICRA (2018)
Changhyun Choi, Wilko Schwarting, Joseph DelPreto, Daniela Rus
Learning Object Grasping for Soft Robot Hands. IEEE Robotics Autom. Lett. 3 (3) (2018)
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
A parallel autonomy research platform. Intelligent Vehicles Symposium (2017)
Cenk Baykal, Wilko Schwarting, Alex Wallar
Detection of AQM on Paths using Machine Learning Methods. CoRR (2017)
Cenk Baykal, Lucas Liebenwein, Wilko Schwarting
Training Support Vector Machines using Coresets. CoRR (2017)
Lucas Liebenwein, Wilko Schwarting, Cristian Ioan Vasile, Jonathan A. DeCastro, Javier Alonso-Mora, Sertac Karaman, Daniela Rus
Compositional and Contract-Based Verification for Autonomous Driving on Road Networks. ISRR (2017)
Wilko Schwarting, Javier Alonso-Mora, Liam Paull, Sertac Karaman, Daniela Rus
Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention. ICRA (2017)
Hans Andersen, Wilko Schwarting, Felix Naser, You Hong Eng, Marcelo H. Ang, Daniela Rus, Javier Alonso-Mora
Trajectory optimization for autonomous overtaking with visibility maximization. ITSC (2017)
Wilko Schwarting, Patrick Pascheka
Recursive conflict resolution for cooperative motion planning in dynamic highway traffic. ITSC (2014)