1 citations · 1 across the 4 of their papers we have counts for
5 papers
GameBoyWorlds: A Testbed for Self-Improvement in Embodied Video Games
Dhananjay Ashok, Adam Shen, Aslan Huo Feng +10
Powered by expert guidance, agents can operate in interactive environments; however, it is unclear whether they can learn autonomously from their own experience. To evaluate such s…
It Matters How You Say It: Exploring Rhetorical Patterns for AI-Assisted Information Evaluation
Sadra Sabouri, Zeinabsadat Saghi, Jordan Lee Boyd-Graber +3
Prior work on AI-assisted information evaluation has largely focused on what AI systems communicate, comparing explanation types and formats, with responses predominantly cast in d…
Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL
Wichayaporn Wongkamjan, Yanze Wang, Feng Gu +4
An increasingly common socio-technical problem is people being taken in by offers that sound ``too good to be true'', where persuasion and trust shape decision-making. This paper i…
Personalized Help for Optimizing Low-Skilled Users' Strategy
Feng Gu, Wichayaporn Wongkamjan, Jonathan K. Kummerfeld +3
AIs can beat humans in game environments; however, how helpful those agents are to human remains understudied. We augment CICERO, a natural language agent that demonstrates superhu…
More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play
Wichayaporn Wongkamjan, Feng Gu, Yanze Wang +6
The boardgame Diplomacy is a challenging setting for communicative and cooperative artificial intelligence. The most prominent communicative Diplomacy AI, Cicero, has excellent str…