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1901.08129
Cited By
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
23 January 2019
Diego Perez-Liebana
Katja Hofmann
Sharada Mohanty
Noburu Kuno
André Kramer
Sam Devlin
Raluca D. Gaina
Daniel Ionita
LRM
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Papers citing
"The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition"
19 / 19 papers shown
Title
MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs
Xianhao Yu
Jiaqi Fu
Renjia Deng
Wenjuan Han
36
5
0
28 Mar 2024
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
23
6
0
05 Dec 2023
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition
Stephanie Milani
Anssi Kanervisto
Karolis Ramanauskas
Sander Schulhoff
Brandon Houghton
...
Vinicius G. Goecks
Nicholas R. Waytowich
David Watkins
J. Miller
Rohin Shah
32
16
0
23 Mar 2023
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
46
348
0
17 Jun 2022
Graph Neural Network based Agent in Google Research Football
Yizhan Niu
Jinglong Liu
Yuhao Shi
Jiren Zhu
GNN
24
2
0
23 Apr 2022
Retrospective on the 2021 BASALT Competition on Learning from Human Feedback
Rohin Shah
Steven H. Wang
Cody Wild
Stephanie Milani
Anssi Kanervisto
...
Alexander Fries
Alexandra Souly
Chan Jun Shern
Daniel del Castillo
Tom Lieberum
LLMAG
OffRL
19
10
0
14 Apr 2022
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
57
31
0
17 Feb 2022
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z Leibo
Edgar A. Duénez-Guzmán
A. Vezhnevets
J. Agapiou
P. Sunehag
Raphael Köster
Jayd Matyas
Charlie Beattie
Igor Mordatch
T. Graepel
OffRL
58
103
0
14 Jul 2021
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
28
30
0
05 Jul 2021
Towards robust and domain agnostic reinforcement learning competitions
William H. Guss
Stephanie Milani
Nicholay Topin
Brandon Houghton
Sharada Mohanty
...
Lu Liu
Daichi Nishio
Toi Tsuneda
Karolis Ramanauskas
Gabija Juceviciute
OOD
27
2
0
07 Jun 2021
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction
T. Nguyen
Thomas P. Quinn
Thin Nguyen
T. Tran
CML
OOD
25
10
0
24 Mar 2021
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
William H. Guss
Cayden R. Codel
Katja Hofmann
Brandon Houghton
Noburu Kuno
...
John Schulman
Manuela Veloso
Nicholay Topin
Avinash Ummadisingu
Phillip Wang
OffRL
17
63
0
26 Jan 2021
Flatland-RL : Multi-Agent Reinforcement Learning on Trains
Sharada Mohanty
Erik Nygren
Florian Laurent
Manuel Schneider
Christian Scheller
...
Christian Baumberger
Gereon Vienken
Irene Sturm
Guillaume Sartoretti
G. Spigler
OffRL
31
58
0
10 Dec 2020
Playing Minecraft with Behavioural Cloning
Anssi Kanervisto
Janne Karttunen
Ville Hautamaki
20
12
0
07 May 2020
Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning
Stephanie Milani
Nicholay Topin
Brandon Houghton
William H. Guss
Sharada Mohanty
Keisuke Nakata
Oriol Vinyals
N. Kuno
OffRL
33
27
0
10 Mar 2020
The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors
William H. Guss
Cayden R. Codel
Katja Hofmann
Brandon Houghton
Noburu Kuno
...
Diego Perez Liebana
Ruslan Salakhutdinov
Nicholay Topin
Manuela Veloso
Phillip Wang
OffRL
15
65
0
22 Apr 2019
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor
Ivan Bravi
Simon Lucas
Diego Perez-Liebana
Jialin Liu
13
11
0
03 Apr 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
32
550
0
12 Oct 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip H. S. Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
114
595
0
28 Feb 2017
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