2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 1 cited
REVECA: Adaptive Planning and Trajectory-based Validation in Cooperative Language Agents using Information Relevance and Relative Proximity
SeungWon Seo, SeongRae Noh, Junhyeok Lee +3
We address the challenge of multi-agent cooperation, where agents achieve a common goal by cooperating with decentralized agents under complex partial observations. Existing cooper…
cs.CV2024★ 2 cited
Incorporating simulated spatial context information improves the effectiveness of contrastive learning models
Lizhen Zhu, James Z. Wang, Wonseuk Lee +1
Visual learning often occurs in a specific context, where an agent acquires skills through exploration and tracking of its location in a consistent environment. The historical spat…