2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy
Joseph Bills, Christopher Archibald, Diego Blaylock
In two-player cooperative games, agents can play together effectively when they have accurate assumptions about how their teammate will behave, but may perform poorly when these as…
cs.AI2024
Approximate Estimation of High-dimension Execution Skill for Dynamic Agents in Continuous Domains
Delma Nieves-Rivera, Christopher Archibald
In many real-world continuous action domains, human agents must decide which actions to attempt and then execute those actions to the best of their ability. However, humans cannot…
cs.AI2024★ 2 cited
Adapting to Teammates in a Cooperative Language Game
Christopher Archibald, Spencer Brosnahan
The game of Codenames has recently emerged as a domain of interest for intelligent agent design. The game is unique due to the way that language and coordination between teammates…