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2012.05893
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Flatland-RL : Multi-Agent Reinforcement Learning on Trains
10 December 2020
Sharada Mohanty
Erik Nygren
Florian Laurent
Manuel Schneider
Christian Scheller
Nilabha Bhattacharya
J. Watson
A. Egli
Christian Eichenberger
Christian Baumberger
Gereon Vienken
Irene Sturm
Guillaume Sartoretti
G. Spigler
OffRL
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Papers citing
"Flatland-RL : Multi-Agent Reinforcement Learning on Trains"
28 / 28 papers shown
MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning
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Luka van den Boogaard
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Mykola Pechenizkiy
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256
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Direct Speech to Speech Translation: A Review
Mohammad Sarim
Saim Shakeel
Laeeba Javed
Jamaluddin
Mohammad Nadeem
296
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0
03 Mar 2025
Multi-Agent Environments for Vehicle Routing Problems
Ricardo Gama
Daniel Fuertes
Carlos R. del-Blanco
Hugo L. Fernandes
Hugo L. Fernandes
AI4CE
323
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21 Nov 2024
Opportunities of Reinforcement Learning in South Africa's Just Transition
Claude Formanek
C. Tilbury
Jonathan P. Shock
320
0
0
06 Nov 2024
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
Claude Formanek
Louise Beyers
C. Tilbury
Jonathan P. Shock
Arnu Pretorius
OffRL
339
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0
18 Sep 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
Achref Jaziri
Etienne Kunzel
Visvanathan Ramesh
CLL
397
1
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19 Aug 2024
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
Alexey Skrynnik
Anton Andreychuk
Anatolii Borzilov
Alexander Chernyavskiy
Konstantin Yakovlev
Aleksandr I. Panov
314
1
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20 Jul 2024
Learning a Distributed Hierarchical Locomotion Controller for Embodied Cooperation
Chuye Hong
K. Huang
Huaping Liu
284
3
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09 Jul 2024
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
Wenzhe Li
Zihan Ding
Seth Karten
Chi Jin
409
10
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04 Jun 2024
Airlift Challenge: A Competition for Optimizing Cargo Delivery
Adis Delanovic
Carmen Chiu
Andre Beckus
Marvin Gülhan
Jonathan Cawalla
Andre Beckus
304
1
0
26 Apr 2024
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
Neural Information Processing Systems (NeurIPS), 2023
Pascal Leroy
P. G. Morato
J. Pisane
A. Kolios
D. Ernst
OffRL
330
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0
20 Jun 2023
Terraforming -- Environment Manipulation during Disruptions for Multi-Agent Pickup and Delivery
Symposium on Combinatorial Search (SoCS), 2023
D. Vainshtein
Yaakov Sherma
Kiril Solovey
Oren Salzman
264
3
0
19 May 2023
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Aravind Venugopal
Stephanie Milani
Fei Fang
Balaraman Ravindran
OffRL
310
8
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12 Apr 2023
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning
Claude Formanek
Asad Jeewa
Jonathan P. Shock
Arnu Pretorius
OffRL
442
5
0
01 Feb 2023
Multi-Agent Path Finding via Tree LSTM
Yuhao Jiang
Kunjie Zhang
Qimai Li
Jiaxin Chen
Xiaolong Zhu
AI4CE
165
2
0
24 Oct 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL
Neural Information Processing Systems (NeurIPS), 2022
R. Gorsane
Omayma Mahjoub
Ruan de Kock
Roland Dubb
Siddarth S. Singh
Arnu Pretorius
OffRL
254
66
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21 Sep 2022
Scalable Multi-Agent Model-Based Reinforcement Learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Vladimir Egorov
A. Shpilman
216
43
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25 May 2022
MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning
Stephanie Milani
Zhicheng Zhang
Nicholay Topin
Z. Shi
Charles A. Kamhoua
Evangelos E. Papalexakis
Fei Fang
OffRL
427
18
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25 May 2022
Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem
International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2022
Anikó Kopacz
Ágnes Mester
Sándor Kolumbán
Lehel Csató
173
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06 Apr 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility
Lukas M. Schmidt
Johanna Brosig
Axel Plinge
Bjoern M. Eskofier
Christopher Mutschler
311
41
0
15 Mar 2022
Refined Hardness of Distance-Optimal Multi-Agent Path Finding
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Tzvika Geft
Dan Halperin
OT
328
17
0
14 Mar 2022
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Neural Information Processing Systems (NeurIPS), 2022
Anssi Kanervisto
Stephanie Milani
Karolis Ramanauskas
Nicholay Topin
Zichuan Lin
...
Franccois Fleuret
Alexander Nikulin
Yury Belousov
Oleg Svidchenko
A. Shpilman
OffRL
317
35
0
17 Feb 2022
Towards robust and domain agnostic reinforcement learning competitions
Neural Information Processing Systems (NeurIPS), 2021
William H. Guss
Stephanie Milani
Nicholay Topin
Brandon Houghton
Sharada Mohanty
...
Lu Liu
Daichi Nishio
Toi Tsuneda
Karolis Ramanauskas
Gabija Juceviciute
OOD
219
2
0
07 Jun 2021
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
Neural Information Processing Systems (NeurIPS), 2021
Florian Laurent
Manuel Schneider
Christian Scheller
J. Watson
Jiaoyang Li
...
Nilabha Bhattacharya
Shivam Agarwal
A. Egli
Erik Nygren
Sharada Mohanty
170
34
0
30 Mar 2021
Learning to run a Power Network Challenge: a Retrospective Analysis
Neural Information Processing Systems (NeurIPS), 2021
Antoine Marot
Benjamin Donnot
Gabriel Dulac-Arnold
A. Kelly
A. O'Sullivan
J. Viebahn
M. Awad
Isabelle M Guyon
P. Panciatici
Camilo Romero
394
97
0
02 Mar 2021
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong
IEEE Robotics and Automation Letters (RA-L), 2020
Mehul Damani
Zhiyao Luo
Emerson Wenzel
Guillaume Sartoretti
AI4CE
580
188
0
16 Oct 2020
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
Afshin Oroojlooyjadid
Davood Hajinezhad
805
580
0
11 Aug 2019
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
Diego Perez-Liebana
Katja Hofmann
Sharada Mohanty
Noburu Kuno
André Kramer
Sam Devlin
Raluca D. Gaina
Daniel Ionita
LRM
317
37
0
23 Jan 2019
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