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Learning to Plan by Looking Back: Hindsight Hierarchies for Training Reasoning Models
Lars Simon, Holger Eble, Manuel Radons
#arXiv #cs.AI #cs.LG #cs.LO
EvoAlloc: A Self-Evolving Resource Allocation Agent for Efficient Program Evolution
Yanning Dai et al.
#arXiv #cs.AI
Onboard Marine Anomaly Detection on $\Phi$sat-2: From Simulation-Based Development to In-Orbit Demonstration
Clotilde Szywala et al.
#arXiv #cs.AI #cs.CV
Constrained Command-Conditioned Reinforcement Learning with Bandit Strategy Selection in Real-Time Strategy Games
Nick Leenders et al.
#arXiv #cs.AI
RIT-RAG: Navigating Document Corpora with Retrieval-Induced Trees
Meghanadh Pulivarthi et al.
#arXiv #cs.AI #cs.IR
RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty
Gukhyeon Lee, SangKeun Lee
#arXiv #cs.AI #cs.CL #cs.LG
SynCo: Data Synthesis Co-Training for Self-Evolving LLMs via Multi-Agent Reinforcement Learning
Wei Yang et al.
#arXiv #cs.AI
Plan-and-Patch: Diffusion Language Models for Agentic Planning
Syamantak Kumar et al.
#arXiv #cs.AI #cs.CL #cs.LG
An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment
Marcelo Valentim Silva, Hannes Herrmann, Valerie Maxville
#arXiv #cs.AI #cs.CL
Learning to Plan by Looking Back: Hindsight Hierarchies for Training Reasoning Models
Lars Simon, Holger Eble, Manuel Radons
#arXiv #cs.AI #cs.LG #cs.LO
EvoAlloc: A Self-Evolving Resource Allocation Agent for Efficient Program Evolution
Yanning Dai et al.
#arXiv #cs.AI
Onboard Marine Anomaly Detection on $\Phi$sat-2: From Simulation-Based Development to In-Orbit Demonstration
Clotilde Szywala et al.
#arXiv #cs.AI #cs.CV