Johannes Fischer

17 papers A* 3A 2C 2Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Safety Reinforced Model Predictive Control (SRMPC): Improving MPC with Reinforcement Learning for Motion Planning in Autonomous Driving. CoRR Johannes Fischer, Marlon Steiner, Ömer Sahin Tas, Christoph Stiller
2024	A*	`conf`	ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints. IJCAI Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer
2024	J	`jnl`	ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints. CoRR Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer
2024	—	`conf`	Data-Driven Online Estimation of Driver Model Parameters for Vehicle Trajectory Prediction. ITSC Johannes Fischer, Christoph Stiller
2024	J	`jnl`	PITA: Physics-Informed Trajectory Autoencoder. CoRR Johannes Fischer, Kevin Rösch, Martin Lauer, Christoph Stiller
2024	C	`conf`	Test-Driven Inverse Reinforcement Learning Using Scenario-Based Testing. IV Johannes Fischer, Moritz Werling, Martin Lauer, Christoph Stiller
2023	C	`conf`	Gap Approaching Intelligent Driver Model for Interactive Simulation of Merging Scenarios. IV Johannes Fischer, Etienne Bührle, Christoph Stiller
2023	A*	`conf`	SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. ICRA Arec L. Jamgochian, Etienne Bührle, Johannes Fischer, Mykel J. Kochenderfer
2023	—	`conf`	Safety Reinforced Model Predictive Control (SRMPC): Improving MPC with Reinforcement Learning for Motion Planning in Autonomous Driving. ITSC Johannes Fischer, Marlon Steiner, Ömer Sahin Tas, Christoph Stiller
2022	—	`conf`	A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics Using Constrained Reinforcement Learning. ITSC Danial Kamran, Thiago D. Simão, Qisong Yang, Canmanie T. Ponnambalam, Johannes Fischer, Matthijs T. J. Spaan, Martin Lauer
2022	—	`conf`	Guiding Belief Space Planning with Learned Models for Interactive Merging. ITSC Johannes Fischer, Etienne Bührle, Danial Kamran, Christoph Stiller
2022	—	`conf`	Interaction-Aware Game-Theoretic Motion Planning for Automated Vehicles using Bi-level Optimization. ITSC Christoph Burger, Johannes Fischer, Frank Bieder, Ömer Sahin Tas, Christoph Stiller
2022	J	`jnl`	SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. CoRR Arec L. Jamgochian, Etienne Bührle, Johannes Fischer, Mykel J. Kochenderfer
2021	A	`conf`	Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning. IROS Danial Kamran, Tizian Engelgeh, Marvin Busch, Johannes Fischer, Christoph Stiller
2021	J	`jnl`	Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning. CoRR Danial Kamran, Tizian Engelgeh, Marvin Busch, Johannes Fischer, Christoph Stiller
2021	A	`conf`	Sampling-based Inverse Reinforcement Learning Algorithms with Safety Constraints. IROS Johannes Fischer, Christoph Eyberg, Moritz Werling, Martin Lauer
2020	A*	`conf`	Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains. ICML Johannes Fischer, Ömer Sahin Tas