arXiv Artificial IntelligencePO-PDDL: Learning Symbolic POMDPs from Visual Demonstrations for Robot Planning Under Uncertainty
arXiv:2606.15654v2 Announce Type: replace-cross Abstract: Real-world robot task planning must operate under…
Curated from international AI laboratories, specialist publications and technology outlets. Last update: 3 hours ago.
arXiv Artificial IntelligencearXiv:2606.15654v2 Announce Type: replace-cross Abstract: Real-world robot task planning must operate under…
arXiv Artificial IntelligencearXiv:2606.12428v2 Announce Type: replace-cross Abstract: In this work, we locate and analyze existing…
arXiv Artificial IntelligencearXiv:2606.10388v2 Announce Type: replace-cross Abstract: Agent skill libraries are becoming routable…
arXiv Artificial IntelligencearXiv:2606.06245v2 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) policies remain…
arXiv Artificial IntelligencearXiv:2606.00140v3 Announce Type: replace-cross Abstract: While the rapid adoption of multimodal generative…
arXiv Artificial IntelligencearXiv:2606.00089v2 Announce Type: replace-cross Abstract: Can learned state-action proposals exist in the…
arXiv Artificial IntelligencearXiv:2605.29411v2 Announce Type: replace-cross Abstract: Under standard graphical assumptions, the Markov…
arXiv Artificial IntelligencearXiv:2605.28969v2 Announce Type: replace-cross Abstract: If an AI agent makes decisions on a person's…
arXiv Artificial IntelligencearXiv:2605.25848v2 Announce Type: replace-cross Abstract: A concept probe is only as reliable as the layer it…
arXiv Artificial IntelligencearXiv:2605.24960v2 Announce Type: replace-cross Abstract: Chain-of-Thought (CoT) faithfulness, i.e., whether…
arXiv Artificial IntelligencearXiv:2605.24856v2 Announce Type: replace-cross Abstract: Concept formation in transformer language models is…
arXiv Artificial IntelligencearXiv:2605.22547v3 Announce Type: replace-cross Abstract: Medical image diagnosis has achieved significant…