benchmark evaluation 1computer use agents 1online reinforcement learning 1sample efficiency 1task synthesis 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling
Yanyu Ren, Xizheng Wang, Xiao Liu +8
Reinforcement learning (RL) for large language models is moving toward multi-turn agentic workloads, where rollout tasks repeatedly pause for external environments, resume with gro…
cs.AI2026
SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL
Bowen Lv, Xiao Liu, Yanyu Ren +7
The paper introduces ScaleCUA, a framework that generates verifiable tasks and improves online reinforcement learning efficiency for computer use agents, achieving state-of-the-art…
cs.AI2025
AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework
Hanchen Zhang, Xiao Liu, Bowen Lv +11
Recent advances in large language models (LLMs) have sparked growing interest in building generalist agents that can learn through online interactions. However, applying reinforcem…