Planning with Language Models Through The Lens of Efficiency

no code implementations • 18 Apr 2024 • Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi

We analyse the cost of using LLMs for planning and highlight that recent trends are profoundly uneconomical.

LakeBench: Benchmarks for Data Discovery over Data Lakes

no code implementations • 9 Jul 2023 • Kavitha Srinivas, Julian Dolby, Ibrahim Abdelaziz, Oktie Hassanzadeh, Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Subhajit Chaudhury, Horst Samulowitz

Within enterprises, there is a growing need to intelligently navigate data lakes, specifically focusing on data discovery.

Navigate

Human-guided Collaborative Problem Solving: A Natural Language based Framework

no code implementations • 19 Jul 2022 • Harsha Kokel, Mayukh Das, Rakibul Islam, Julia Bonn, Jon Cai, Soham Dan, Anjali Narayan-Chen, Prashant Jayannavar, Janardhan Rao Doppa, Julia Hockenmaier, Sriraam Natarajan, Martha Palmer, Dan Roth

We consider the problem of human-machine collaborative problem solving as a planning task coupled with natural language communication.

Dynamic probabilistic logic models for effective abstractions in RL

no code implementations • 15 Oct 2021 • Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli

State abstraction enables sample-efficient learning and better task transfer in complex reinforcement learning environments.

reinforcement-learning Reinforcement Learning (RL)