51 citations · 77 across the 12 of their papers we have counts for
4 papers · 1 filter
Probabilistic Modeling of Human Teams to Infer False Beliefs
Paulo Soares, Adarsh Pyarelal, Kobus Barnard
We develop a probabilistic graphical model (PGM) for artificially intelligent (AI) agents to infer human beliefs during a simulated urban search and rescue (USAR) scenario executed…
Multi-Timescale Modeling of Human Behavior
Chinmai Basavaraj, Adarsh Pyarelal, Evan Carter
In recent years, the role of artificially intelligent (AI) agents has evolved from being basic tools to socially intelligent agents working alongside humans towards common goals. I…
Deep Reinforcement Learning with Vector Quantized Encoding
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
Human decision-making often involves combining similar states into categories and reasoning at the level of the categories rather than the actual states. Guided by this intuition,…
Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
When performing complex tasks, humans naturally reason at multiple temporal and spatial resolutions simultaneously. We contend that for an artificially intelligent agent to effecti…