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  4. Cited By
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale
  Knowledge

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge

17 June 2022
Linxi Fan
Guanzhi Wang
Yunfan Jiang
Ajay Mandlekar
Yuncong Yang
Haoyi Zhu
Andrew Tang
De-An Huang
Yuke Zhu
Anima Anandkumar
    LM&Ro
ArXivPDFHTML

Papers citing "MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge"

50 / 286 papers shown
Title
EnvGen: Generating and Adapting Environments via LLMs for Training
  Embodied Agents
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
Abhaysinh Zala
Jaemin Cho
Han Lin
Jaehong Yoon
Mohit Bansal
26
13
0
18 Mar 2024
A Survey on Game Playing Agents and Large Models: Methods, Applications,
  and Challenges
A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges
Xinrun Xu
Yuxin Wang
Chaoyi Xu
Ziluo Ding
Jiechuan Jiang
Zhiming Ding
Börje F. Karlsson
LM&Ro
LLMAG
70
13
0
15 Mar 2024
USimAgent: Large Language Models for Simulating Search Users
USimAgent: Large Language Models for Simulating Search Users
Erhan Zhang
Xingzhu Wang
Peiyuan Gong
Yankai Lin
Jiaxin Mao
LLMAG
35
14
0
14 Mar 2024
Scaling Instructable Agents Across Many Simulated Worlds
Scaling Instructable Agents Across Many Simulated Worlds
Sima Team
Maria Abi Raad
Arun Ahuja
Catarina Barros
F. Besse
...
Daan Wierstra
Duncan Williams
Nathaniel Wong
Sarah York
Nick Young
LM&Ro
107
35
0
13 Mar 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
53
20
0
13 Mar 2024
Online Continual Learning For Interactive Instruction Following Agents
Online Continual Learning For Interactive Instruction Following Agents
Byeonghwi Kim
Minhyuk Seo
Jonghyun Choi
CLL
LM&Ro
58
7
0
12 Mar 2024
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied
  Instruction Following
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following
Haochen Shi
Zhiyuan Sun
Xingdi Yuan
Marc-Alexandre Côté
Bang Liu
LLMAG
21
10
0
05 Mar 2024
In-Memory Learning: A Declarative Learning Framework for Large Language
  Models
In-Memory Learning: A Declarative Learning Framework for Large Language Models
Bo Wang
Tianxiang Sun
Hang Yan
Siyin Wang
Qingyuan Cheng
Xipeng Qiu
LLMAG
27
1
0
05 Mar 2024
AutoAttacker: A Large Language Model Guided System to Implement
  Automatic Cyber-attacks
AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks
Jiacen Xu
Jack W. Stokes
Geoff McDonald
Xuesong Bai
David Marshall
Siyue Wang
Adith Swaminathan
Zhou Li
35
48
0
02 Mar 2024
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
Shaoteng Liu
Haoqi Yuan
Minda Hu
Yanwei Li
Yukang Chen
Shu Liu
Zongqing Lu
Jiaya Jia
LLMAG
40
14
0
29 Feb 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
56
17
0
28 Feb 2024
Empowering Large Language Model Agents through Action Learning
Empowering Large Language Model Agents through Action Learning
Haiteng Zhao
Chang Ma
Guoyin Wang
Jing Su
Lingpeng Kong
Jingjing Xu
Zhi-Hong Deng
Hongxia Yang
LM&Ro
LLMAG
49
9
0
24 Feb 2024
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared
  Semantic Spaces
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces
Tianyu Zheng
Ge Zhang
Xingwei Qu
Ming Kuang
Stephen W. Huang
Zhaofeng He
OffRL
29
1
0
20 Feb 2024
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via
  Game-Theoretic Evaluations
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations
Jinhao Duan
Renming Zhang
James Diffenderfer
B. Kailkhura
Lichao Sun
Elias Stengel-Eskin
Mohit Bansal
Tianlong Chen
Kaidi Xu
ELM
LRM
32
55
0
19 Feb 2024
AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential
  Reasoning Ability
AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability
Siwei Yang
Bingchen Zhao
Cihang Xie
LRM
6
6
0
14 Feb 2024
AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous
  Systems
AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems
Jiaying Lu
Bo Pan
Jieyi Chen
Yingchaojie Feng
Jingyuan Hu
Yuchen Peng
Wei Chen
34
13
0
14 Feb 2024
Towards Unified Alignment Between Agents, Humans, and Environment
Towards Unified Alignment Between Agents, Humans, and Environment
Zonghan Yang
An Liu
Zijun Liu
Kai Liu
Fangzhou Xiong
...
Zhenhe Zhang
Fuwen Luo
Zhicheng Guo
Peng Li
Yang Liu
24
4
0
12 Feb 2024
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Zhiyong Wu
Chengcheng Han
Zichen Ding
Zhenmin Weng
Zhoumianze Liu
Shunyu Yao
Tao Yu
Lingpeng Kong
LLMAG
LM&Ro
113
83
0
12 Feb 2024
Code as Reward: Empowering Reinforcement Learning with VLMs
Code as Reward: Empowering Reinforcement Learning with VLMs
David Venuto
Sami Nur Islam
Martin Klissarov
Doina Precup
Sherry Yang
Ankit Anand
VLM
18
9
0
07 Feb 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
AIFin
LLMAG
LM&Ro
45
15
0
07 Feb 2024
Read to Play (R2-Play): Decision Transformer with Multimodal Game
  Instruction
Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction
Yonggang Jin
Ge Zhang
Hao Zhao
Tianyu Zheng
Jiawei Guo
Liuyu Xiang
Shawn Yue
Stephen W. Huang
Zhaofeng He
Jie Fu
OffRL
24
4
0
06 Feb 2024
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model
  Feedback
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
Yufei Wang
Zhanyi Sun
Jesse Zhang
Zhou Xian
Erdem Biyik
David Held
Zackory M. Erickson
VLM
53
48
0
06 Feb 2024
Assessing the Impact of Distribution Shift on Reinforcement Learning
  Performance
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
Ted Fujimoto
Joshua Suetterlein
Samrat Chatterjee
A. Ganguly
OffRL
11
3
0
05 Feb 2024
Vision-Language Models Provide Promptable Representations for
  Reinforcement Learning
Vision-Language Models Provide Promptable Representations for Reinforcement Learning
William Chen
Oier Mees
Aviral Kumar
Sergey Levine
VLM
LM&Ro
39
21
0
05 Feb 2024
Integration of cognitive tasks into artificial general intelligence test
  for large models
Integration of cognitive tasks into artificial general intelligence test for large models
Youzhi Qu
Chen Wei
Penghui Du
Wenxin Che
Chi Zhang
...
Bin Hu
Kai Du
Haiyan Wu
Jia Liu
Quanying Liu
ELM
34
6
0
04 Feb 2024
Point Cloud Matters: Rethinking the Impact of Different Observation
  Spaces on Robot Learning
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
Haoyi Zhu
Yating Wang
Di Huang
Weicai Ye
Wanli Ouyang
Tong He
SSL
3DPC
31
18
0
04 Feb 2024
Computational Experiments Meet Large Language Model Based Agents: A
  Survey and Perspective
Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective
Qun Ma
Xiao Xue
Deyu Zhou
Xiangning Yu
Donghua Liu
...
Yifan Shen
Peilin Ji
Juanjuan Li
Gang Wang
Wanpeng Ma
AI4CE
LM&Ro
LLMAG
11
6
0
01 Feb 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Jianlan Luo
Zheyuan Hu
Charles Xu
You Liang Tan
Jacob Berg
Archit Sharma
S. Schaal
Chelsea Finn
Abhishek Gupta
Sergey Levine
OffRL
OnRL
34
40
0
29 Jan 2024
True Knowledge Comes from Practice: Aligning LLMs with Embodied
  Environments via Reinforcement Learning
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning
Weihao Tan
Wentao Zhang
Shanqi Liu
Longtao Zheng
Xinrun Wang
Bo An
OffRL
31
16
0
25 Jan 2024
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning
  Capabilities
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
Boyuan Chen
Zhuo Xu
Sean Kirmani
Brian Ichter
Danny Driess
Pete Florence
Dorsa Sadigh
Leonidas J. Guibas
Fei Xia
LRM
ReLM
36
194
0
22 Jan 2024
CivRealm: A Learning and Reasoning Odyssey in Civilization for
  Decision-Making Agents
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
Siyuan Qi
Shuo Chen
Yexin Li
Xiangyu Kong
Junqi Wang
...
Zhaowei Zhang
Nian Liu
Wei Wang
Yaodong Yang
Song-Chun Zhu
AI4CE
LRM
19
17
0
19 Jan 2024
Exploring the Reasoning Abilities of Multimodal Large Language Models
  (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning
Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning
Yiqi Wang
Wentao Chen
Xiaotian Han
Xudong Lin
Haiteng Zhao
Yongfei Liu
Bohan Zhai
Jianbo Yuan
Quanzeng You
Hongxia Yang
LRM
33
66
0
10 Jan 2024
Language-Conditioned Robotic Manipulation with Fast and Slow Thinking
Language-Conditioned Robotic Manipulation with Fast and Slow Thinking
Minjie Zhu
Yichen Zhu
Jinming Li
Junjie Wen
Zhiyuan Xu
...
Chaomin Shen
Yaxin Peng
Dong Liu
Feifei Feng
Jian Tang
LM&Ro
27
15
0
08 Jan 2024
Object-Centric Instruction Augmentation for Robotic Manipulation
Object-Centric Instruction Augmentation for Robotic Manipulation
Junjie Wen
Yichen Zhu
Minjie Zhu
Jinming Li
Zhiyuan Xu
...
Chaomin Shen
Yaxin Peng
Dong Liu
Feifei Feng
Jian Tang
LM&Ro
62
16
0
05 Jan 2024
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots
Pengxiang Ding
Han Zhao
Wenxuan Song
Zhitao Wang
Zhenyu Wei
Shangke Lyu
Ningxi Yang
Donglin Wang
25
19
0
22 Dec 2023
MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft
  Worlds
MinePlanner: A Benchmark for Long-Horizon Planning in Large Minecraft Worlds
William Hill
Ireton Liu
Anita De Mello Koch
Damion Harvey
Nishanth Kumar
G. Konidaris
Steven D. James
LM&Ro
9
0
0
20 Dec 2023
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
27
31
0
14 Dec 2023
Vision-Language Models as a Source of Rewards
Vision-Language Models as a Source of Rewards
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
Harris Chan
Gheorghe Comanici
...
Yannick Schroecker
Stephen Spencer
Richie Steigerwald
Luyu Wang
Lei Zhang
VLM
LRM
32
26
0
14 Dec 2023
LiFT: Unsupervised Reinforcement Learning with Foundation Models as
  Teachers
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
Taewook Nam
Juyong Lee
Jesse Zhang
Sung Ju Hwang
Joseph J. Lim
Karl Pertsch
OffRL
LRM
43
4
0
14 Dec 2023
Foundation Models in Robotics: Applications, Challenges, and the Future
Foundation Models in Robotics: Applications, Challenges, and the Future
Roya Firoozi
Johnathan Tucker
Stephen Tian
Anirudha Majumdar
Jiankai Sun
...
Brian Ichter
Danny Driess
Jiajun Wu
Cewu Lu
Mac Schwager
LM&Ro
AI4CE
LRM
VLM
35
136
0
13 Dec 2023
MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active
  Perception
MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception
Yiran Qin
Enshen Zhou
Qichang Liu
Zhen-fei Yin
Lu Sheng
Ruimao Zhang
Yu Qiao
Jing Shao
LM&Ro
17
39
0
12 Dec 2023
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven
  Differentiable Physics
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics
Zhiao Huang
Feng Chen
Yewen Pu
Chun-Tse Lin
Hao Su
Chuang Gan
11
4
0
11 Dec 2023
Toward Open-ended Embodied Tasks Solving
Toward Open-ended Embodied Tasks Solving
William Wei Wang
Dongqi Han
Xufang Luo
Yifei Shen
Charles X. Ling
Boyu Wang
Dongsheng Li
AI4CE
8
5
0
10 Dec 2023
The Generalization Gap in Offline Reinforcement Learning
The Generalization Gap in Offline Reinforcement Learning
Ishita Mediratta
Qingfei You
Minqi Jiang
Roberta Raileanu
OffRL
57
10
0
10 Dec 2023
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary
  Intelligence
DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence
Saeejith Nair
M. Shafiee
Alexander Wong
8
0
0
08 Dec 2023
FoMo Rewards: Can we cast foundation models as reward functions?
FoMo Rewards: Can we cast foundation models as reward functions?
Ekdeep Singh Lubana
Johann Brehmer
P. D. Haan
Taco S. Cohen
OffRL
LRM
33
2
0
06 Dec 2023
LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent
  Ecosystem
LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem
Yingqiang Ge
Yujie Ren
Wenyue Hua
Shuyuan Xu
Juntao Tan
Yongfeng Zhang
LLMAG
12
27
0
06 Dec 2023
Creative Agents: Empowering Agents with Imagination for Creative Tasks
Creative Agents: Empowering Agents with Imagination for Creative Tasks
Chi Zhang
Penglin Cai
Yuhui Fu
Haoqi Yuan
Zongqing Lu
LM&Ro
LLMAG
49
20
0
05 Dec 2023
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for
  Training and Benchmarking Agents that Solve Fuzzy Tasks
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
Stephanie Milani
Anssi Kanervisto
Karolis Ramanauskas
Sander Schulhoff
Brandon Houghton
Rohin Shah
21
6
0
05 Dec 2023
Quality Diversity in the Amorphous Fortress (QD-AF): Evolving for
  Complexity in 0-Player Games
Quality Diversity in the Amorphous Fortress (QD-AF): Evolving for Complexity in 0-Player Games
Sam Earle
M. Charity
Dipika Rajesh
Mayu Wilson
Julian Togelius
8
1
0
04 Dec 2023
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