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Understanding the Capabilities of Large Language Models for Automated Planning


May 25, 2023
Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia

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* 12 pages 

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Fast and Slow Planning


Mar 07, 2023
Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava

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Plansformer: Generating Symbolic Plans using Transformers


Dec 16, 2022
Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, Andrea Loreggia

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* 44 pages including supplementary material 

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Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach


Oct 23, 2022
Heshan Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen

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Targeted Advertising on Social Networks Using Online Variational Tensor Regression


Aug 25, 2022
Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe

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* 18 pages, 7 figures 

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Auto-Transfer: Learning to Route Transferrable Representations


Feb 04, 2022
Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar

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* Accepted for publication in ICLR 2022 

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Case-based Reasoning for Better Generalization in Text-Adventure Games


Oct 16, 2021
Mattia Atzeni, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan

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


Jun 15, 2021
Keerthiram Murugesan, Subhajit Chaudhury, Kartik Talamadupula

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Thinking Fast and Slow in AI


Oct 12, 2020
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava

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