Papers4

#tool-augmented agents

HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel

The Viet Bui, Wenjun Li et al.Mar 5arXiv

HiMAP-Travel is a team-based AI planner that splits a long trip into daily chunks so it can follow tough rules like budgets without drifting off course.

#hierarchical planning#multi-agent systems#constraint drift

Not triaged yet

MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios

Beginner

Zhiheng Song, Jingshuai Zhang et al.Feb 26arXiv

MobilityBench is a big, carefully built test that checks how well AI helpers can plan real-world routes using natural language and map tools.

#MobilityBench#route-planning agents#large language models

Not triaged yet

ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas

Intermediate

Xiaoyu Tian, Haotian Wang et al.Jan 29arXiv

ASTRA is a fully automated way to train tool-using AI agents by making both their practice stories (trajectories) and their practice worlds (environments) without humans in the loop.

#tool-augmented agents#multi-turn decision making#verifiable environments

Not triaged yet

MAI-UI Technical Report: Real-World Centric Foundation GUI Agents

Intermediate

Hanzhang Zhou, Xu Zhang et al.Dec 26arXiv

MAI-UI is a family of AI agents that can see, understand, and control phone and computer screens using plain language.

#GUI agent#GUI grounding#mobile navigation

Not triaged yet