3 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Dynamic Incentivized Cooperation under Changing Rewards
Philipp Altmann, Thomy Phan, Maximilian Zorn +2
Peer incentivization (PI) is a popular multi-agent reinforcement learning approach where all agents can reward or penalize each other to achieve cooperation in social dilemmas. Des…
Multi-Agent Path Finding Among Dynamic Uncontrollable Agents with Statistical Safety Guarantees
Kegan J. Strawn, Thomy Phan, Eric Wang +3
Existing multi-agent path finding (MAPF) solvers do not account for uncertain behavior of uncontrollable agents. We present a novel variant of Enhanced Conflict-Based Search (ECBS)…
Confidence-Based Curriculum Learning for Multi-Agent Path Finding
Thomy Phan, Joseph Driscoll, Justin Romberg +1
A wide range of real-world applications can be formulated as Multi-Agent Path Finding (MAPF) problem, where the goal is to find collision-free paths for multiple agents with indivi…
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search
Shao-Hung Chan, Zhe Chen, Dian-Lun Lin +5
Multi-Agent Path Finding (MAPF) is the problem of finding a set of collision-free paths for multiple agents in a shared environment while minimizing the sum of travel time. Since s…