Rector:” We want to bolster Denmark for the age of AI”
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Updates every hour. Last Updated: 26-Nov-2025 15:11 ET (26-Nov-2025 20:11 GMT/UTC)
Dynamic multi-robot task allocation (MRTA) requires real-time responsiveness and adaptability to rapidly changing con ditions. Existing methods, primarily based on static data and centralized architectures, often fail in dynamic environments that require decentralized, context-aware decisions. To address these challenges, this paper proposes a novel graph reinforce ment learning (GRL) architecture, named Spatial-Temporal Fusing Reinforcement Learning (STFRL), to address real-time distributed target allocation problems in search and rescue scenarios. The proposed policy network includes an encoder, which employs a Temporal-Spatial Fusing Encoder (TSFE) to extract input features and a decoder uses multi-head attention (MHA) to perform distributed allocation based on the encoder’s output and context. The policy network is trained with the REINFORCEalgorithm.Experimentalcomparisonswithstate-of-the-artbaselinesdemonstratethatSTFRLachievessuperior performance in path cost, inference speed, and scalability, highlighting its robustness and efficiency in complex, dynamic environments.
A practical, evidence-based checklist developed by scientists at the University of Surrey is helping everyone from keen gardeners to local councils plan their next greening project with confidence.
A new study has identified over 240 scientific publications on animal models of hemorrhagic stroke that contain potentially problematic images, thereby raising concerns about the trustworthiness of the body of literature this field. The findings come from a team led by René Aquarius and Kim Wever at Radboud university medical center in the Netherlands, and are published October 30th in the open-access journal PLOS Biology.
If we all ate more vegetables and less meat, and cut down on bananas, chocolate and coffee, we could free up significant areas of land for restoration and save hundreds of the world’s species from extinction, finds a new Cambridge study.