3 papers
cs.AI2025
LoopBench: Discovering Emergent Symmetry Breaking Strategies with LLM Swarms
Ali Parsaee, Yashar Talebirad, Csongor Szepesvári +2
Large Language Models (LLMs) are increasingly being utilized as autonomous agents, yet their ability to coordinate in distributed systems remains poorly understood. We introduce \t…
cs.LG2025
Budget-constrained Active Learning to Effectively De-censor Survival Data
Ali Parsaee, Bei Jiang, Zachary Friggstad +1
Standard supervised learners attempt to learn a model from a labeled dataset. Given a small set of labeled instances, and a pool of unlabeled instances, a budgeted learner can use…
cs.RO2025
Synchronous vs Asynchronous Reinforcement Learning in a Real World Robot
Ali Parsaee, Fahim Shahriar, Chuxin He +1
In recent times, reinforcement learning (RL) with physical robots has attracted the attention of a wide range of researchers. However, state-of-the-art RL algorithms do not conside…