Wilko Schwarting

53 papers A* 11A 5B 1C 3Misc 4Journal 20Unranked 9

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