12 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 2 cited
Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
Zihao Zhou, Bin Hu, Chenyang Zhao +2
Recent studies have uncovered the potential of Large Language Models (LLMs) in addressing complex sequential decision-making tasks through the provision of high-level instructions.…
cs.AI2023★ 12 cited
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
Bin Hu, Chenyang Zhao, Pu Zhang +4
Large language models (LLMs) encode a vast amount of world knowledge acquired from massive text datasets. Recent studies have demonstrated that LLMs can assist an embodied agent in…
cs.LG2023★ 1 cited
On Context Distribution Shift in Task Representation Learning for Offline Meta RL
Chenyang Zhao, Zihao Zhou, Bin Liu
Offline Meta Reinforcement Learning (OMRL) aims to learn transferable knowledge from offline datasets to enhance the learning process for new target tasks. Context-based Reinforcem…