We survey applications of pretrained foundation models in robotics. Traditional deep
learning models in robotics are trained on small datasets tailored for specific tasks, which …

In this work, we demonstrate a method for implementing policy iteration using a large
language model. While the application of foundation models to RL has received …

Multi-task Reinforcement Learning (MT-RL) faces key challenges in accomplishing complex
long-horizon tasks, particularly related to scarce rewards, inefficient sample usage, and low …

Large Language Models (LLMs) have demonstrated superior performance in language
understanding benchmarks. A recent use case for LLMs involves training decision-making …