11 citations · 19 across the 10 of their papers we have counts for
5 papers · 1 filter
Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition
Elliot Fosong, Arrasy Rahman, Ignacio Carlucho +1
Training a team to complete a complex task via multi-agent reinforcement learning can be difficult due to challenges such as policy search in a large joint policy space, and non-st…
Deep Reinforcement Learning for Multi-Agent Interaction
Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho +14
The development of autonomous agents which can interact with other agents to accomplish a given task is a core area of research in artificial intelligence and machine learning. Tow…
Few-Shot Teamwork
Elliot Fosong, Arrasy Rahman, Ignacio Carlucho +1
We propose the novel few-shot teamwork (FST) problem, where skilled agents trained in a team to complete one task are combined with skilled agents from different tasks, and togethe…
Cooperative Marine Operations via Ad Hoc Teams
Ignacio Carlucho, Arrasy Rahman, William Ard +3
While research in ad hoc teamwork has great potential for solving real-world robotic applications, most developments so far have been focusing on environments with simple dynamics.…
A Survey of Ad Hoc Teamwork Research
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman +5
Ad hoc teamwork is the research problem of designing agents that can collaborate with new teammates without prior coordination. This survey makes a two-fold contribution: First, it…