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The MineRL 2020 Competition on Sample Efficient Reinforcement Learning
  using Human Priors

The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors

26 January 2021
William H. Guss
Cayden R. Codel
Katja Hofmann
Brandon Houghton
Noburu Kuno
Crissman Loomis
Stephanie Milani
Sharada Mohanty
Keisuke Nakata
Ruslan Salakhutdinov
John Schulman
Manuela Veloso
Nicholay Topin
Avinash Ummadisingu
Phillip Wang
    OffRL
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Papers citing "The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors"

18 / 18 papers shown
Title
Massively Multiagent Minigames for Training Generalist Agents
Massively Multiagent Minigames for Training Generalist Agents
Kyoung Whan Choe
Ryan Sullivan
Joseph Suárez
AI4CE
39
0
0
07 Jun 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
Artem Agarkov
Viacheslav Sinii
Sergey Kolesnikov
41
26
0
19 Dec 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&Ro
LLMAG
60
318
0
03 Feb 2023
Learning to Generalize with Object-centric Agents in the Open World
  Survival Game Crafter
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter
Aleksandar Stanić
Yujin Tang
David R Ha
Jürgen Schmidhuber
ELM
29
13
0
05 Aug 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale
  Knowledge
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Linxi Fan
Guanzhi Wang
Yunfan Jiang
Ajay Mandlekar
Yuncong Yang
Haoyi Zhu
Andrew Tang
De-An Huang
Yuke Zhu
Anima Anandkumar
LM&Ro
69
354
0
17 Jun 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
35
100
0
11 Jan 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
45
34
0
07 Dec 2021
Combining Learning from Human Feedback and Knowledge Engineering to
  Solve Hierarchical Tasks in Minecraft
Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft
Vinicius G. Goecks
Nicholas R. Waytowich
David Watkins
Bharat Prakash
15
7
0
07 Dec 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual
  Reinforcement Learning Agents
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
Sam Powers
Eliot Xing
Eric Kolve
Roozbeh Mottaghi
Abhinav Gupta
OffRL
36
38
0
19 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
238
89
0
27 Sep 2021
Benchmarking the Spectrum of Agent Capabilities
Benchmarking the Spectrum of Agent Capabilities
Danijar Hafner
ELM
33
128
0
14 Sep 2021
Comparing PCG metrics with Human Evaluation in Minecraft Settlement
  Generation
Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation
Jean-Baptiste Hervé
Christoph Salge
19
12
0
06 Jul 2021
The MineRL BASALT Competition on Learning from Human Feedback
The MineRL BASALT Competition on Learning from Human Feedback
Rohin Shah
Cody Wild
Steven H. Wang
Neel Alex
Brandon Houghton
...
Stephanie Milani
Nicholay Topin
Pieter Abbeel
Stuart J. Russell
Anca Dragan
41
31
0
05 Jul 2021
Guaranteeing Reproducibility in Deep Learning Competitions
Guaranteeing Reproducibility in Deep Learning Competitions
Brandon Houghton
Stephanie Milani
Nicholay Topin
William H. Guss
Katja Hofmann
Diego Perez-Liebana
Manuela Veloso
Ruslan Salakhutdinov
OOD
27
8
0
12 May 2020
Action Space Shaping in Deep Reinforcement Learning
Action Space Shaping in Deep Reinforcement Learning
Anssi Kanervisto
Christian Scheller
Ville Hautamaki
27
80
0
02 Apr 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
46
1,799
0
13 Dec 2019
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
Jonathan Gray
Kavya Srinet
Yacine Jernite
Haonan Yu
Zhuoyuan Chen
Demi Guo
Siddharth Goyal
C. L. Zitnick
Arthur Szlam
41
39
0
19 Jul 2019
Learning to Run challenge: Synthesizing physiologically accurate motion
  using deep reinforcement learning
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Jennifer Hicks
Sean F. Carroll
Sergey Levine
M. Salathé
Scott L. Delp
34
60
0
31 Mar 2018
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