1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 1 cited
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
Evan Zheran Liu, Sahaana Suri, Tong Mu +2
Whereas machine learning models typically learn language by directly training on language tasks (e.g., next-word prediction), language emerges in human children as a byproduct of s…
cs.MA2022
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal
Tong Mu, Stephan Zheng, Alexander Trott
Principal-Agent (PA) problems describe a broad class of economic relationships characterized by misaligned incentives and asymmetric information. The Principal's problem is to find…
cs.LG2019★ 1 cited
PLOTS: Procedure Learning from Observations using Subtask Structure
Tong Mu, Karan Goel, Emma Brunskill
In many cases an intelligent agent may want to learn how to mimic a single observed demonstrated trajectory. In this work we consider how to perform such procedural learning from o…