2 papers
cs.AI2026
ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents
Lei Ding, Bin He, Chenguang Wang +1
Proactive task-oriented agents must autonomously anticipate user needs, identify actionable opportunities, and trigger software actions at appropriate moments - fundamentally shift…
cs.MA2025
Adaptive Coopetition: Leveraging Coarse Verifier Signals for Resilient Multi-Agent LLM Reasoning
Rui Jerry Huang, Wendy Liu, Anastasia Miin +1
Inference-time computation is a critical yet challenging paradigm for enhancing the reasoning performance of large language models (LLMs). While existing strategies improve reasoni…