MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learningby Jiarui Sun,…
Tractable Offline Learning of Regular Decision Processesby Ahana Deb, Roberto Cipollone, Anders Jonsson, Alessandro Ronca,…
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problemby Constantin Waubert…
Abstractive Text Summarization: State of the Art, Challenges, and Improvementsby Hassan Shakil, Ahmad Farooq, Jugal…
Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learningby Guanwen Xie,…
Multi-Agent Reinforcement Learning for Joint Police Patrol and Dispatchby Matthew Repasky, He Wang, Yao XieFirst…
Reinforcement Learning-enabled Satellite Constellation Reconfiguration and Retasking for Mission-Critical Applicationsby Hassan El Alami, Danda B.…
Efficient LLM Context Distillationby Rajesh Upadhayayaya, Zachary Smith, Chritopher Kottmyer, Manish Raj OstiFirst submitted to…
Large-scale Urban Facility Location Selection with Knowledge-informed Reinforcement Learningby Hongyuan Su, Yu Zheng, Jingtao Ding,…
Imitating Language via Scalable Inverse Reinforcement Learningby Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja,…