9 papers
Trajectory2Gym: Decision-Grounded Compositional Interaction Synthesis for Tool-Use Agents
Yihao Hu, Zhihao Wen, Yitong Lin +5
Successful tool-use trajectories are not necessarily useful supervision. Even successful interactions may underrepresent multi-step dependencies or contain actions that are unjusti…
Rotochemical heating of neutron stars in 2D
Mikhail V. Beznogov, Jerome Novak, Dany Page +1
The matter inside a spinning-down neutron star (NS) undergoes a slow compression that may drive it out of chemical equilibrium and, consequently, trigger non-equilibrium nuclear re…
Grounded Skill Synthesis from Code at Scale for Agentic Intelligence
Yongqi Tong, Pan Wang, Hang Wang +4
Reusable skills give agents transferable procedural knowledge, making scalable acquisition essential for extending agents beyond prior experience. Existing methods face two limitat…
Towards Better Agents for Multi-Turn User Interaction: The Next User Turn Is More Than Context
Yiwen Zhao, Zhihao Wen, Yuchen Mao +5
User-facing tool agents must coordinate dialogue and tool use as user goals unfold over multiple turns. Yet interactive reinforcement learning typically reduces each rollout to a t…
Diagnosis Before Recovery: Turning Agent Failures into Selective Self-Correction
Pan Wang, Yihao Hu, Hang Wang +6
Self-correction is particularly useful when a failure constrains the next repair. Coding agents benefit from this property because compilers, tests, and execution traces turn many…
SEAL: Synergistic Co-Evolution of Agents and Learning Environments
Yihao Hu, Zhihao Wen, Xiujin Liu +3
Large Language Model (LLM) agents are increasingly improved through interaction, yet most self-evolution methods adapt either the policy or the learning environment in isolation. W…
AtlasVA: Self-Evolving Visual Skill Memory for Teacher-Free VLM Agents
Pan Wang, Yihao Hu, Xiujin Liu +3
Vision-language model (VLM) agents increasingly rely on memory-augmented reinforcement learning to reuse experience across long-horizon tasks, yet most existing frameworks store me…
A Multi-Strategy Framework for Enhancing Shatian Pomelo Detection in Real-World Orchards
Pan Wang, Yihao Hu, Xiaodong Bai +6
Shatian pomelo detection in orchards is essential for yield estimation and lean production, but models tuned to ideal datasets often degrade in practice due to device-dependent ton…
SDE-DET: A Precision Network for Shatian Pomelo Detection in Complex Orchard Environments
Yihao Hu, Pan Wang, Xiaodong Bai +8
Pomelo detection is an essential process for their localization, automated robotic harvesting, and maturity analysis. However, detecting Shatian pomelo in complex orchard environme…