1 citations · 1 across the 4 of their papers we have counts for
7 papers
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…
Exotic Higgs Decays in the Type-II 2HDMs at Current and Future pp Colliders
Felix Kling, Honglei Li, Shuailong Li +4
The exotic decay modes of non-Standard Model Higgses can serve as powerful search channels to explore the parameter space of extended Higgs sectors. In this Snowmass contribution,…
AutoMATES: Automated Model Assembly from Text, Equations, and Software
Adarsh Pyarelal, Marco A. Valenzuela-Escarcega, Rebecca Sharp +6
Models of complicated systems can be represented in different ways - in scientific papers, they are represented using natural language text as well as equations. But to be of real…
Higgs Assisted Razor Search for Higgsinos at a 100 TeV pp Collider
Adarsh Pyarelal, Shufang Su
A 100 TeV proton-proton collider will be an extremely effective way to probe the electroweak sector of the Minimal Supersymmetric Standard Model (MSSM). In this paper, we describe…