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Wilko Schwarting
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2020 – today
- 2024
- [c33]Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus:
Growing Q-networks: Solving continuous control tasks with adaptive control resolution. L4DC 2024: 1646-1661 - [c32]Sean Vaskov, Wilko Schwarting, Chris L. Baker:
Do no harm: A counterfactual approach to safe reinforcement learning. L4DC 2024: 1675-1687 - [c31]Rahul Ahuja, Chris L. Baker, Wilko Schwarting:
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision. WACV 2024: 3149-3158 - [i15]Rahul Ahuja, Chris L. Baker, Wilko Schwarting:
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision. CoRR abs/2401.02550 (2024) - [i14]Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus:
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution. CoRR abs/2404.04253 (2024) - [i13]Sean Vaskov, Wilko Schwarting, Chris L. Baker:
Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning. CoRR abs/2405.11669 (2024) - 2023
- [c30]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: 1667-1685 - [c29]Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier:
Solving Continuous Control via Q-learning. ICLR 2023 - 2022
- [c28]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: 2419-2426 - [c27]Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Learning Interactive Driving Policies via Data-driven Simulation. ICRA 2022: 7745-7752 - [c26]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: 954-967 - [c25]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: 1006-1019 - [i12]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 abs/2204.02392 (2022) - [i11]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 abs/2205.09117 (2022) - [i10]Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier:
Solving Continuous Control via Q-learning. CoRR abs/2210.12566 (2022) - 2021
- [j5]Wilko Schwarting
, Alyssa Pierson
Stochastic Dynamic Games in Belief Space. IEEE Trans. Robotics 37(6): 2157-2172 (2021) - [c24]Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus:
Strength Through Diversity: Robust Behavior Learning via Mixture Policies. CoRL 2021: 1144-1155 - [c23]Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. CoRL 2021: 1156-1167 - [c22]Noam Buckman, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Semi-Cooperative Control for Autonomous Emergency Vehicles. IROS 2021: 7052-7059 - [c21]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: 27209-27221 - [i9]Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRR abs/2102.09812 (2021) - [i8]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 abs/2111.02552 (2021) - [i7]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 abs/2111.12083 (2021) - [i6]Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Learning Interactive Driving Policies via Data-driven Simulation. CoRR abs/2111.12137 (2021) - 2020
- [c20]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: 1855-1870 - [c19]Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus:
Deep Orientation Uncertainty Learning based on a Bingham Loss. ICLR 2020 - [c18]Alyssa Pierson
Weighted Buffered Voronoi Cells for Distributed Semi-Cooperative Behavior. ICRA 2020: 5611-5617 - [c17]Zefan Huang
Safe Path Planning with Multi-Model Risk Level Sets. IROS 2020: 6268-6275 - [c16]Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Learning to Plan via Deep Optimistic Value Exploration. L4DC 2020: 815-825 - [c15]Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus:
Deep Evidential Regression. NeurIPS 2020 - [i5]Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus:
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. CoRR abs/2010.14641 (2020)
2010 – 2019
- 2019
- [j4]Wilko Schwarting
Social behavior for autonomous vehicles. Proc. Natl. Acad. Sci. USA 116(50): 24972-24978 (2019) - [c14]Alexander Amini, Ava P. Soleimany
Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure. AIES 2019: 289-295 - [c13]Alyssa Pierson
Dynamic Risk Density for Autonomous Navigation in Cluttered Environments without Object Detection. ICRA 2019: 5807-5814 - [c12]Noam Buckman, Alyssa Pierson
Sharing is Caring: Socially-Compliant Autonomous Intersection Negotiation. IROS 2019: 6136-6143 - [c11]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: 1864-1870 - [c10]Alex Wallar, Wilko Schwarting, Javier Alonso-Mora, Daniela Rus:
Optimizing Multi-class Fleet Compositions for Shared Mobility-as-a-Service. ITSC 2019: 2998-3005 - [c9]Alyssa Pierson
Learning Risk Level Set Parameters from Data Sets for Safer Driving. IV 2019: 273-280 - [i4]Wilko Schwarting, Alyssa Pierson, Sertac Karaman, Daniela Rus:
Stochastic Dynamic Games in Belief Space. CoRR abs/1909.06963 (2019) - [i3]Alexander Amini, Wilko Schwarting, Ava Soleimany, Daniela Rus:
Deep Evidential Regression. CoRR abs/1910.02600 (2019) - 2018
- [j3]Wilko Schwarting, Javier Alonso-Mora, Daniela Rus:
Planning and Decision-Making for Autonomous Vehicles. Annu. Rev. Control. Robotics Auton. Syst. 1: 187-210 (2018) - [j2]Changhyun Choi
Learning Object Grasping for Soft Robot Hands. IEEE Robotics Autom. Lett. 3(3): 2370-2377 (2018) - [j1]Wilko Schwarting
Safe Nonlinear Trajectory Generation for Parallel Autonomy With a Dynamic Vehicle Model. IEEE Trans. Intell. Transp. Syst. 19(9): 2994-3008 (2018) - [c8]Alyssa Pierson
Navigating Congested Environments with Risk Level Sets. ICRA 2018: 1-8 - [c7]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: 2388-2394 - [c6]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: 568-575 - 2017
- [c5]Wilko Schwarting, Javier Alonso-Mora
Parallel autonomy in automated vehicles: Safe motion generation with minimal intervention. ICRA 2017: 1928-1935 - [c4]Lucas Liebenwein, Wilko Schwarting, Cristian Ioan Vasile
Compositional and Contract-Based Verification for Autonomous Driving on Road Networks. ISRR 2017: 163-181 - [c3]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: 1-8 - [c2]Felix Naser, David L. Dorhout, Stephen Proulx, Scott Drew Pendleton
A parallel autonomy research platform. Intelligent Vehicles Symposium 2017: 933-940 - [i2]Cenk Baykal, Wilko Schwarting, Alex Wallar:
Detection of AQM on Paths using Machine Learning Methods. CoRR abs/1707.02386 (2017) - [i1]Cenk Baykal, Lucas Liebenwein, Wilko Schwarting:
Training Support Vector Machines using Coresets. CoRR abs/1708.03835 (2017) - 2014
- [c1]Wilko Schwarting, Patrick Pascheka:
Recursive conflict resolution for cooperative motion planning in dynamic highway traffic. ITSC 2014: 1039-1044
Coauthor Index
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