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20242026
most citedR3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning

1 citations · 1 across the 3 of their papers we have counts for

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cs.CV2026

ScenarioControl: Vision-Language Controllable Vectorized Latent Scenario Generation

Lili Gao, Yanbo Xu, William Koch +8

We introduce ScenarioControl, the first vision-language control mechanism for learned driving scenario generation. Given a text prompt or an input image, Scenario-Control synthesiz…

cs.CV2026

SSR: A Generic Framework for Text-Aided Map Compression for Localization

Mohammad Omama, Po-han Li, Harsh Goel +6

Mapping is crucial in robotics for localization and downstream decision-making. As robots are deployed in ever-broader settings, the maps they rely on continue to increase in size.…