From the 2 of 46 linked papers with an AI index.
46 papers
Search-Aided Joint Agent-Environment Reinforcement Learning for Robust Lifelong Multi-Agent Path Finding with Rotations
He Jiang, Jingtian Yan, Yulun Zhang +5
Lifelong Multi-Agent Path Finding (LMAPF) requires repeatedly planning collision-free paths for agents that continuously receive new goals upon reaching their current ones. While m…
PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3
Chengyang He, Tanishq Duhan, Gadiel Sznaier Camps +6
We present PRIMAL3, an ultra-large-scale learning-based framework for multi-agent pathfinding (MAPF) that integrates reinforcement learning, topology-aware communication, LaCAM3-gu…
RL-VLA: Adaptive RL Latent Compositional Steering with Test-Time Scaling for Vision-Language-Action Models
Derek Ming Siang Tan, Shailesh Shailesh, Srikrishna Iyer +4
The paper presents RL², an adaptive test‑time steering framework that uses offline reinforcement learning on latent features from a frozen Vision‑Language‑Action model to compose a…
Dec-MARVEL: Decentralized Multi-Agent Exploration without Communication under Budget Constraints
Janghyun Cho, Jimmy Chiun, Guillaume Sartoretti +1
The paper introduces Dec-MARVEL, a decentralized framework that enables multiple UAVs to explore unknown environments without explicit communication, using observed teammate motion…
X-Morph: Human Motion Priors for Scalable Robot Learning Across Morphologies
Ritwik Sharma, Shivam Sood, Arhaan Jain +3
Recent progress in humanoid behavior models has been driven in large part by abundant human motion data, but comparable motion data is scarce for non-humanoid legged robots such as…
CoReLIN: Constraint-based Reasoning for Zero-shot Lifelong Interactive Navigation
Apoorva Vashisth, Manav Kulshrestha, Pranav Bakshi +3
Robot navigation typically assumes an obstacle-free path exists between start and goal. In real environments, however, clutter may block all routes. We introduce Lifelong Interacti…