Reinforcement Learning

Curriculum Learning for Embodied Planning with LLMs
Curriculum Learning for Embodied Planning with LLMs

This project explores the application of Curriculum Learning to improve the performance of GPT-2 models in Embodied Natural Language Processing tasks using the ALFWorld dataset. We developed curricula for both Action Modeling and Reinforcement Learning stages, demonstrating significant improvements in task success rates and action efficiency. Authors: Bohan Liu, Vedaant Jain, Aarohi Gupta

May 10, 2024