Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated Sensingby Luke Snow, Vikram KrishnamurthyFirst submitted…
A Distribution-Aware Flow-Matching for Generating Unstructured Data for Few-Shot Reinforcement Learningby Mohammad Pivezhandi, Abusayeed SaifullahFirst…
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphsby…
Temporally Consistent Factuality Probing for Large Language Modelsby Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy…
OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatmentby Yooseok Lim, Sujee LeeFirst submitted to arxiv…
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systemsby Shuo Su, Xiaoshuang…
Evaluating Defences against Unsafe Feedback in RLHFby Domenic Rosati, Giles Edkins, Harsh Raj, David Atanasov,…
Training Language Models to Self-Correct via Reinforcement Learningby Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi…
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustnessby Xuan Cai, Zhiyong Cui,…
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learningby Shivam Shandilya, Menglin Xia, Supriyo Ghosh,…