Thought of Search: 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 these properties of using LLMs for planning and highlight that recent trends abandon both soundness and completeness for the sake of inefficiency.

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)