1 citations · 2 across the 11 of their papers we have counts for
4 papers · 1 filter
Towards Learning Representations of Policies in Two-Player Zero-Sum Imperfect-Information Games
Kevin Wang, Kevin Yang, Arjun Prakash +1
We investigate the problem of learning useful policy representations (embeddings) in two-player zero-sum imperfect-information games. We make three contributions: First, we introdu…
Distilling Game Code World Model Generation into Lightweight Large Language Models
Tyrone Serapio, Arjun Prakash, Haoyang Xu +2
Large Language Models (LLMs) have shown great ability in generating executable code from natural language, opening the possibility of automatically constructing environments for AI…
Chronax: A Jax Library for Forecasting and Conformal Inference
Xan Carey, Arsh Singh, Yash Deshmukh +8
Time-series forecasting is central to many scientific and industrial domains, such as energy systems, climate modeling, finance, and retail. While forecasting methods have evolved…
TempusBench: An Evaluation Framework for Time-Series Forecasting
Denizalp Goktas, Gerardo Riaño-Briceño, Omkar Tekawade +14
Foundation models have transformed natural language processing and computer vision, and a rapidly growing literature on time-series foundation models (TSFMs) seeks to replicate thi…