activity
20192026
most citedRevisiting Reward Design and Evaluation for Robust Humanoid Standing and Walking

2 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2026

Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents

Rajesh Mangannavar, Zachary Coalson, Pranay Dugar +1

Translating natural-language planning intent into verified plans is a longstanding challenge: people communicate goals in language, while classical planners require formal PDDL spe…