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Daniel Bogdoll

2 accepted papers

2026

Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving

ICRA 2026poster

Autonomous driving involves multiple, often conflicting objectives such as safety, efficiency, and comfort. In reinforcement learning (RL), these objectives are typically combined through weighted summation, which collapses their relative priorities and often yields policies that violate safety-crit…

2024

Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions

ICRA 2024poster

Reinforcement Learning is a highly active research field with promising advancements. In the field of autonomous driving, however, often very simple scenarios are being examined. Common approaches use non-interpretable control commands as the action space and unstructured reward designs, which are u…

Cited by 5SourcecodeScholar