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Scaling Observation-aware Planning in Uncertain Domains

BACKGROUND
1 SIGNALFIRST DETECTED 23 May 2026
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25 Apr
Robustness Analysis of POMDP Policies to Observation Perturbations

arXiv:2604.21256v1 Announce Type: new Abstract: Policies for Partially Observable Markov Decision Processes (POMDPs) are often designed using a nominal system model. In practice,

REPORT · HOW · ArXiv CS.AIOPEN STORY
4 May
Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling

arXiv:2605.00412v1 Announce Type: new Abstract: World models have recently re-emerged as a central paradigm for embodied intelligence, robotics, autonomous driving, and

REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 Mar
Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds

arXiv:2603.18532v1 Announce Type: cross Abstract: The strong performance of large vision-language models (VLMs) trained with reinforcement learning (RL) has motivated similar

REPORT · HOW · ArXiv CS.AIOPEN STORY
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