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

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

17 November 2021
Hangyu Mao
Chao Wang
Xiaotian Hao
Yihuan Mao
Yiming Lu
Chengjie Wu
Jianye Hao
Dong Li
Pingzhong Tang
ArXiv (abs)PDFHTML

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

18 / 18 papers shown
Title
Don't Just Follow MLLM Plans: Robust and Efficient Planning for Open-world Agents
Don't Just Follow MLLM Plans: Robust and Efficient Planning for Open-world Agents
Seungjoon Lee
Suhwan Kim
Minhyeon Oh
Youngsik Yoon
Jungseul Ok
LLMAG
40
0
0
30 May 2025
NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence
NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence
Zhicong Li
Hangyu Mao
Jiangjin Yin
Mingzhe Xing
Zhiwei Xu
Yuanxing Zhang
Yang Xiao
69
0
0
30 Apr 2025
Mimicking Human Intuition: Cognitive Belief-Driven Reinforcement Learning
Mimicking Human Intuition: Cognitive Belief-Driven Reinforcement Learning
Xingrui Gu
Guanren Qiao
Chuyi Jiang
OffRL
87
0
0
02 Oct 2024
Hierarchical Auto-Organizing System for Open-Ended Multi-Agent
  Navigation
Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation
Zhonghan Zhao
Kewei Chen
Dongxu Guo
Wenhao Chai
Tianbo Ye
Yanting Zhang
Gaoang Wang
112
24
0
13 Mar 2024
S-Agents: Self-organizing Agents in Open-ended Environments
S-Agents: Self-organizing Agents in Open-ended Environments
Jia-Qing Chen
Yu-Gang Jiang
Jiachen Lu
Li Zhang
AIFinLLMAGLM&Ro
89
16
0
07 Feb 2024
Auto MC-Reward: Automated Dense Reward Design with Large Language Models
  for Minecraft
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
Hao Li
Xue Yang
Zhaokai Wang
Xizhou Zhu
Jie Zhou
Yu Qiao
Xiaogang Wang
Hongsheng Li
Lewei Lu
Jifeng Dai
94
36
0
14 Dec 2023
See and Think: Embodied Agent in Virtual Environment
See and Think: Embodied Agent in Virtual Environment
Zhonghan Zhao
Wenhao Chai
Xuan Wang
Li Boyi
Shengyu Hao
Shidong Cao
Tianbo Ye
Gaoang Wang
LM&RoLLMAG
146
39
0
26 Nov 2023
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language
  Model-based Agents in Real-world Systems
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems
Yilun Kong
Jingqing Ruan
Yihong Chen
Bin Zhang
Tianpeng Bao
...
Xiaoru Hu
Hangyu Mao
Ziyue Li
Xingyu Zeng
Rui Zhao
LLMAG
124
38
0
19 Nov 2023
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal
  Language Models
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models
Zihao Wang
Shaofei Cai
Hoang Trung-Dung
Yonggang Jin
Jinbing Hou
...
Zhaofeng He
Zilong Zheng
Yaodong Yang
Xiaojian Ma
Yitao Liang
LLMAGLM&Ro
119
108
0
10 Nov 2023
Octopus: Embodied Vision-Language Programmer from Environmental Feedback
Octopus: Embodied Vision-Language Programmer from Environmental Feedback
Jingkang Yang
Yuhao Dong
Shuai Liu
Yue Liu
Ziyue Wang
...
Haoran Tan
Jiamu Kang
Yuanhan Zhang
Kaiyang Zhou
Ziwei Liu
LM&Ro
89
49
0
12 Oct 2023
Ghost in the Minecraft: Generally Capable Agents for Open-World
  Environments via Large Language Models with Text-based Knowledge and Memory
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
Xizhou Zhu
Yuntao Chen
Hao Tian
Chenxin Tao
Weijie Su
...
Lewei Lu
Xiaogang Wang
Yu Qiao
Zhaoxiang Zhang
Jifeng Dai
LLMAGLM&Ro
110
240
0
25 May 2023
Voyager: An Open-Ended Embodied Agent with Large Language Models
Voyager: An Open-Ended Embodied Agent with Large Language Models
Guanzhi Wang
Yuqi Xie
Yunfan Jiang
Ajay Mandlekar
Chaowei Xiao
Yuke Zhu
Linxi Fan
Anima Anandkumar
LM&RoSyDa
171
843
0
25 May 2023
Skill Reinforcement Learning and Planning for Open-World Long-Horizon
  Tasks
Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks
Haoqi Yuan
Chi Zhang
Hongchen Wang
Feiyang Xie
Penglin Cai
Hao Dong
Zongqing Lu
LM&RoLLMAG
119
23
0
29 Mar 2023
Describe, Explain, Plan and Select: Interactive Planning with Large
  Language Models Enables Open-World Multi-Task Agents
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents
Zihao Wang
Shaofei Cai
Guanzhou Chen
Hoang Trung-Dung
Xiaojian Ma
Yitao Liang
LM&RoLLMAG
123
340
0
03 Feb 2023
Open-World Multi-Task Control Through Goal-Aware Representation Learning
  and Adaptive Horizon Prediction
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction
Shaofei Cai
Zihao Wang
Xiaojian Ma
Hoang Trung-Dung
Yitao Liang
126
42
0
21 Jan 2023
PTDE: Personalized Training with Distilled Execution for Multi-Agent
  Reinforcement Learning
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
99
7
0
17 Oct 2022
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Anssi Kanervisto
Stephanie Milani
Karolis Ramanauskas
Nicholay Topin
Zichuan Lin
...
Franccois Fleuret
Alexander Nikulin
Yury Belousov
Oleg Svidchenko
A. Shpilman
OffRL
127
33
0
17 Feb 2022
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical
  Reinforcement Learning
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin
Junyou Li
Jianing Shi
Deheng Ye
Qiang Fu
Wei Yang
BDL
78
36
0
07 Dec 2021
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