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Joshua Ransiek

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2020 – today

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2024
[i4]
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  - journals/corr/abs-2406-03870
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Joshua Ransiek, Johannes Plaum, Jacob Langner, Eric Sax:
GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation. CoRR abs/2406.03870 (2024)
[i3]
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  - journals/corr/abs-2409-10655
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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]
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  - journals/corr/abs-2409-14196
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Joshua Ransiek, Philipp Reis, Eric Sax:
Adversarial and Reactive Traffic Agents for Realistic Driving Simulation. CoRR abs/2409.14196 (2024)
2023
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  - conf/itsc/RansiekSHS23
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Joshua Ransiek, Barbara Schütt, Adrian Hof, Eric Sax:
Generation of Adversarial Trajectories using Reinforcement Learning to Test Motion Planning Algorithms. ITSC 2023: 2819-2826
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  - conf/ivs/SchuttRBS23
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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
[i1]
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  - journals/corr/abs-2304-10850
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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)
2022
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  - conf/iecon/RudolfRSH22
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Thomas Rudolf, Joshua Ransiek, Stefan Schwab, Sören Hohmann:
Robust Parameter Estimation and Tracking through Lyapunov-based Actor-Critic Reinforcement Learning. IECON 2022: 1-6

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