297 citations · 710 across the 17 of their papers we have counts for
5 papers · 1 filter
Continual Harness: Online Adaptation for Self-Improving Foundation Agents
Seth Karten, Joel Zhang, Tersoo Upaa +5
Coding harnesses such as Claude Code and OpenHands wrap foundation models with tools, memory, and planning, but no equivalent exists for embodied agents' long-horizon partial-obser…
Next-Token Prediction and Regret Minimization
Mehryar Mohri, Clayton Sanford, Jon Schneider +2
We consider the question of how to employ next-token prediction algorithms in adversarial online decision-making environments. Specifically, if we train a next-token prediction mod…
The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
Seth Karten, Jake Grigsby, Tersoo Upaa +28
We present the PokeAgent Challenge, a large-scale benchmark for decision-making research built on Pokemon's multi-agent battle system and expansive role-playing game (RPG) environm…
Online Learning with Bounded Recall
Jon Schneider, Kiran Vodrahalli
We study the problem of full-information online learning in the "bounded recall" setting popular in the study of repeated games. An online learning algorithm is -$…
Nonlinear Initialization Methods for Low-Rank Neural Networks
Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy +2
We propose a novel low-rank initialization framework for training low-rank deep neural networks -- networks where the weight parameters are re-parameterized by products of two low-…