The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition

The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition

23 January 2019

Diego Perez-Liebana

Sharada Mohanty

Raluca D. Gaina

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 23 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 29 58 0 10 Dec 2020
Playing Minecraft with Behavioural Cloning Anssi Kanervisto Janne Karttunen Ville Hautamaki 18 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 13 65 0 22 Apr 2019
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor Ivan Bravi Simon Lucas Diego Perez-Liebana Jialin Liu 11 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