47 citations · 60 across the 14 of their papers we have counts for
5 papers · 1 filter
AI Planning: A Primer and Survey (Preliminary Report)
Dillon Z. Chen, Pulkit Verma, Siddharth Srivastava +2
Automated decision-making is a fundamental topic that spans multiple sub-disciplines in AI: reinforcement learning (RL), AI planning (AP), foundation models, and operations researc…
Using Explainable AI and Hierarchical Planning for Outreach with Robots
Rushang Karia, Jayesh Nagpal, Daksh Dobhal +4
Understanding how robots plan and execute tasks is crucial in today's world, where they are becoming more prevalent in our daily lives. However, teaching non-experts, such as K-12…
utoval: Autonomous Assessment of LLMs in Formal Synthesis and Interpretation Tasks
Rushang Karia, Daniel Bramblett, Daksh Dobhal +2
This paper presents utoval, a new approach for scaling LLM assessment in translating formal syntax -- such as first-order logic, regular expressions, etc -- to na…
From Real World to Logic and Back: Learning Generalizable Relational Concepts For Long Horizon Robot Planning
Naman Shah, Jayesh Nagpal, Siddharth Srivastava
Robots still lag behind humans in their ability to generalize from limited experience, particularly when transferring learned behaviors to long-horizon tasks in unseen environments…
Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings
Rushang Karia, Pulkit Verma, Alberto Speranzon +1
This paper introduces a new approach for continual planning and model learning in relational, non-stationary stochastic environments. Such capabilities are essential for the deploy…