SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition

SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition

17 November 2021

Jianye Hao

Papers citing "SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition"

3 / 3 papers shown

Title
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents Zihao Wang Shaofei Cai Guanzhou Chen Guy Van den Broeck Xiaojian Ma Yitao Liang LM&Ro LLMAG 60 318 0 03 Feb 2023
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning Yiqun Chen Hangyu Mao Jiaxin Mao Shiguang Wu Tianle Zhang Bin Zhang Bin Wang Hong Chang OffRL 41 7 0 17 Oct 2022
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning Zichuan Lin Junyou Li Jianing Shi Deheng Ye Qiang Fu Wei Yang BDL 45 34 0 07 Dec 2021