Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion. - Utkarsh Soni; Sarath Sreedharan; Mudit Verma; Lin Guan 003; Matthew Marquez; Subbarao Kambhampati (CoRR, 2022)

PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change. - Karthik Valmeekam; Matthew Marquez; Alberto Olmo Hernandez; Sarath Sreedharan; Subbarao Kambhampati (NeurIPS, 2023)

On the Planning Abilities of Large Language Models - A Critical Investigation. - Karthik Valmeekam; Matthew Marquez; Sarath Sreedharan; Subbarao Kambhampati (NeurIPS, 2023)

On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark). - Karthik Valmeekam; Sarath Sreedharan; Matthew Marquez; Alberto Olmo Hernandez; Subbarao Kambhampati (CoRR, 2023)

Can Large Language Models Really Improve by Self-critiquing Their Own Plans? - Karthik Valmeekam; Matthew Marquez; Subbarao Kambhampati (CoRR, 2023)

GPT-4 Doesn't Know It's Wrong: An Analysis of Iterative Prompting for Reasoning Problems. - Kaya Stechly; Matthew Marquez; Subbarao Kambhampati (CoRR, 2023)