3 papers
cs.LG2026
Diffusion-Augmented Markov Decision Processes for Maximum Entropy Reinforcement Learning
Sebastian Sanokowski, Kaustubh Patil
Diffusion models excel at sampling from complex, unnormalized distributions. In this work, we extend Maximum Entropy Reinforcement Learning (ME-RL) to diffusion processes, enabling…
cs.RO2026
Beyond the Vehicle: Cooperative Localization by Fusing Point Clouds for GPS-Challenged Urban Scenarios
Kuo-Yi Chao, Ralph Rasshofer, Alois Christian Knoll
Accurate vehicle localization is a critical challenge in urban environments where GPS signals are often unreliable. This paper presents a cooperative multi-sensor and multi-modal l…
cs.RO2025
E2E Parking Dataset: An Open Benchmark for End-to-End Autonomous Parking
Kejia Gao, Liguo Zhou, Mingjun Liu +1
End-to-end learning has shown great potential in autonomous parking, yet the lack of publicly available datasets limits reproducibility and benchmarking. While prior work introduce…