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Conference and Workshop Papers
- 2023
[c3]Joshua Ransiek, Barbara Schütt, Adrian Hof, Eric Sax:
Generation of Adversarial Trajectories using Reinforcement Learning to Test Motion Planning Algorithms. ITSC 2023: 2819-2826- [c2]Barbara Schütt, Joshua Ransiek, Thilo Braun, Eric Sax:
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey. IV 2023: 1-8 - 2022
- [c1]Thomas Rudolf, Joshua Ransiek, Stefan Schwab, Sören Hohmann:
Robust Parameter Estimation and Tracking through Lyapunov-based Actor-Critic Reinforcement Learning. IECON 2022: 1-6
Informal and Other Publications
- 2024
- [i4]Joshua Ransiek, Johannes Plaum, Jacob Langner, Eric Sax:
GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation. CoRR abs/2406.03870 (2024) - [i3]Daniel Flögel, Marcos Gómez Villafañe, Joshua Ransiek, Sören Hohmann:
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning. CoRR abs/2409.10655 (2024) - [i2]Joshua Ransiek, Philipp Reis, Eric Sax:
Adversarial and Reactive Traffic Agents for Realistic Driving Simulation. CoRR abs/2409.14196 (2024) - 2023
- [i1]Barbara Schütt, Joshua Ransiek, Thilo Braun, Eric Sax:
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey. CoRR abs/2304.10850 (2023)
Coauthor Index
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