Planning as Goal Recognition: Deriving Heuristics from Intention Models — Extended Version
arXiv:2603.14824v2 Announce Type: replace Abstract: Classical planning aims to find a sequence of actions, a plan, that maps a starting…
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arXiv:2603.14824v2 Announce Type: replace Abstract: Classical planning aims to find a sequence of actions, a plan, that maps a starting…
Nature Machine Intelligence, Published online: 25 March 2026; doi:10.1038/s42256-026-01204-0 Muzellec and Kar use reverse predictivity to show that only a…
Nature Machine Intelligence, Published online: 25 March 2026; doi:10.1038/s42256-026-01195-y Frank et al. introduce Euclidean fast attention, a linear-scaling framework for…
arXiv:2603.21708v1 Announce Type: new Abstract: Long-tail class incremental learning (LT CIL) remains highly challenging because the scarcity of samples in…
arXiv:2603.20223v1 Announce Type: cross Abstract: Immediate feedback is a foundational requirement of effective AI-mediated learning, yet the energy and latency…
arXiv:2603.20204v1 Announce Type: cross Abstract: Understanding how interdisciplinary research teams converge on shared knowledge is a persistent challenge. This paper…
arXiv:2603.20266v1 Announce Type: cross Abstract: Despite the rapid advancements in Artificial Intelligence (AI), Stochastic Differential Equations (SDEs) remain the gold-standard…
arXiv:2603.20246v1 Announce Type: cross Abstract: Speech brain–computer interfaces require decoders that translate intracortical activity into linguistic output while remaining robust…
arXiv:2603.20449v1 Announce Type: cross Abstract: Tool-augmented Large Language Models (TaLLMs) extend LLMs with the ability to invoke external tools, enabling…
arXiv:2603.20897v1 Announce Type: cross Abstract: The strong and continuous increase of AI-based services leads to the steady proliferation of AI…