activity
20102023
most citedPRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning

425 citations · 982 across the 23 of their papers we have counts for

collaborators
Showing 2017Show all

6 papers · 1 filter

cs.AI2017★ 34 cited

AI Buzzwords Explained: Multi-Agent Path Finding (MAPF)

Hang Ma, Sven Koenig

Explanation of the hot topic "multi-agent path finding".

cs.AI2017★ 34 cited

Feasibility Study: Moving Non-Homogeneous Teams in Congested Video Game Environments

Hang Ma, Jingxing Yang, Liron Cohen +2

Multi-agent path finding (MAPF) is a well-studied problem in artificial intelligence, where one needs to find collision-free paths for agents with given start and goal locations. I…

cs.AI2017★ 74 cited

Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks

Hang Ma, Jiaoyang Li, T. K. Satish Kumar +1

The multi-agent path-finding (MAPF) problem has recently received a lot of attention. However, it does not capture important characteristics of many real-world domains, such as aut…

cs.AI2017★ 3 cited

Path Planning with Kinematic Constraints for Robot Groups

Wolfgang Hönig, T. K. Satish Kumar, Liron Cohen +3

Path planning for multiple robots is well studied in the AI and robotics communities. For a given discretized environment, robots need to find collision-free paths to a set of spec…

cs.AI2017★ 91 cited

Overview: Generalizations of Multi-Agent Path Finding to Real-World Scenarios

Hang Ma, Sven Koenig, Nora Ayanian +7

Multi-agent path finding (MAPF) is well-studied in artificial intelligence, robotics, theoretical computer science and operations research. We discuss issues that arise when genera…

cs.AI2017★ 8 cited

Ethical Considerations in Artificial Intelligence Courses

Emanuelle Burton, Judy Goldsmith, Sven Koenig +3

The recent surge in interest in ethics in artificial intelligence may leave many educators wondering how to address moral, ethical, and philosophical issues in their AI courses. As…