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20162026
most citedOn the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)

44 citations · 120 across the 46 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

cs.CL2021★ 3 cited

Case-based Reasoning for Better Generalization in Textual Reinforcement Learning

Mattia Atzeni, Shehzaad Dhuliawala, Keerthiram Murugesan +1

Text-based games (TBG) have emerged as promising environments for driving research in grounded language understanding and studying problems like generalization and sample efficienc…

cs.LG2021

Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents

Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula

Text-based games (TBGs) have become a popular proving ground for the demonstration of learning-based agents that make decisions in quasi real-world settings. The crux of the proble…