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We approach autonomous drone-based reforestation with a collaborative multi-agent reinforcement learning (MARL) setup.
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication
Emanuele Pesce and Giovanni Montana · 1901
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Wildfire Monitoring in Remote Areas using Autonomous Unmanned Aerial Vehicles
Fatemeh Afghah, Abolfazl Razi, Jacob Chakareski, and Jonathan Ashdown · 1905
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Optimal algebraic Breadth-First Search for sparse graphs
Paul Burkhardt · 1906
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Sai Qian Zhang, Qi Zhang, and Jieyu Lin · 1909
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Dota 2 with Large Scale Deep Reinforcement Learning, December 2019
OpenAI, Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemysław Dębiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Chris Hesse, Rafal Józefowicz, Scott Gray, Catherine Olsson, Jakub Pachocki, Michael Petrov, Henrique P. d O. Pinto, Jonathan Raiman, Tim Salimans, Jeremy Schlatter, Jonas Schneider, Szymon Sidor, Ilya Sutskever, Jie Tang, Filip Wolski, and Susan Zhang · 1912
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Diplomacy (game), 1959
AB Calhamer · 1959
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Distributed problem-solving techniques: A survey
Keith S. Decker · 1987
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On Team Formation
Philip Cohen, Hector Levesque, and Ira Smith · 1997
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Using communication to reduce locality in distributed multiagent learning
MAJA J. MATARIC · 1998
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Swarm Intelligence: From Natural to Artificial Systems
Eric Bonabeau, Marco Dorigo, and Guy Theraulaz · 1999
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Learning to Cooperate via Policy Search, 2000
Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, and Leslie Pack Kaelnling · 2000
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An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems
Martin Lauer and Martin Riedmiller · 2000
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Communication decisions in multi-agent cooperation: model and experiments
Ping Xuan, Victor Lesser, and Shlomo Zilberstein · 2001
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Deep Blue
Murray Campbell, A. Joseph Hoane, and Feng-hsiung Hsu · 2002
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The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models
D. V. Pynadath and M. Tambe · 2002
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A single framework for vehicle roll, pitch, yaw estimation and obstacles detection by stereovision
R. Labayrade and D. Aubert · 2003
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Cooperative Multi-Agent Learning: The State of the Art
Liviu Panait and Sean Luke · 2005
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The NetHack Learning Environment
Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, and Tim Rocktäschel · 2006
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Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Thomas Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Roman Werpachowski, Satinder Singh, Thore Graepel, and Yoram Bachrach · 2006
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Learning Individually Inferred Communication for Multi-Agent Cooperation, April 2021
Ziluo Ding, Tiejun Huang, and Zongqing Lu · 2006
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Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Yoav Shoham · 2009
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The graph neural network model
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini · 2009
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Rebuilding Resilience in the Sahel: Regreening in the Maradi and Zinder Regions of Niger
Jan Sendzimir, Chris P. Reij, and Piotr Magnuszewski · 2011
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Using Unity to Help Solve Intelligence
Tom Ward, Andrew Bolt, Nik Hemmings, Simon Carter, Manuel Sanchez, Ricardo Barreira, Seb Noury, Keith Anderson, Jay Lemmon, Jonathan Coe, Piotr Trochim, Tom Handley, and Adrian Bolton · 2011
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Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems
Laëtitia Matignon, Guillaume J. Laurent, and Nadine Le Fort-Piat · 2012
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Analysis of the Depth First Search Algorithms
N. Kaur and D. Garg · 2012
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Experiment aims to steep rainforest in carbon dioxide
Jeff Tollefson · 2013
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Reinforcement Learning in Robotics: A Survey
Jens Kober, J Andrew Bagnell, and Jan Peters · 2013
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DeepWalk: Online Learning of Social Representations
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena · 2014
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Industrial Agents: Emerging Applications of Software Agents in Industry
Paulo Leitão and Stamatis Karnouskos · 2015
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, and Demis Hassabis · 2015
Cited alongside, same era.
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
Shai Shalev-Shwartz, Shaked Shammah, and Amnon Shashua · 2016
Cited alongside, same era.
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Caglar Gulcehre, Francis Song, Andrew Ballard, Justin Gilmer, George Dahl, Ashish Vaswani, Kelsey Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matt Botvinick, Oriol Vinyals, Yujia Li, and Razvan Pascanu · 2018
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IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures, June 2018
Lasse Espeholt, Hubert Soyer, Remi Munos, Karen Simonyan, Volodymir Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, and Koray Kavukcuoglu · 2018
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Real-Time Drone Formation Control for Group Display
Hyohoon Ahn, Duc-Tai Le, Dung Nguyen, and Hyunseung Choo · 2019
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Grandmaster level in StarCraft II using multi-agent reinforcement learning
Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander S. Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom L. Paine, Caglar Gulcehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, and David Silver · 2019
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Mastering the game of Go with deep neural networks and tree search
David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, and Demis Hassabis · 2016
Cited alongside, same era.
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Ioannis Alexandros Assael, Nando de Freitas, and Shimon Whiteson · 2016
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Flying Swarm of Drones Over Circulant Digraph
Zbigniew R. Bogdanowicz · 2017
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Proximal Policy Optimization Algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
Cited alongside, same era.
Cooperative Multi-agent Control Using Deep Reinforcement Learning
Jayesh K. Gupta, Maxim Egorov, and Mykel Kochenderfer · 2017
Cited alongside, same era.
Mastering the game of Go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, and Demis Hassabis · 2017
Cited alongside, same era.
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas Anthony, Zheng Tian, and David Barber · 2017
Cited alongside, same era.
Later among the works it cites.
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag, and Enrique Munoz de Cote · 2019
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Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction
Kyle D. Julian and Mykel J. Kochenderfer · 2019
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An Introduction to Proximal Policy Optimization (PPO) in Deep Reinforcement Learning, April 2019
Udacity-DeepRL · 2019
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The Complete Reinforcement Learning Dictionary, November 2019
Shaked Zychlinski · 2019
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Estimating the Role of Seven Commodities in Agriculture-Linked Deforestation: Oil Palm, Soy, Cattle, Wood Fiber, Cocoa, Coffee, and Rubber
Elizabeth Dow Goldman, Mikaela Weisse, Nancy Harris, and Martina Schneider · 2020
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The Greening of the Sahara: Past Changes and Future Implications
Francesco S. R. Pausata, Marco Gaetani, Gabriele Messori, Alexis Berg, Danielle Maia de Souza, Rowan F. Sage, and Peter B. deMenocal · 2020
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When will the Amazon hit a tipping point?
Ignacio Amigo · 2020
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Graph neural networks: A review of methods and applications
Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, and Maosong Sun · 2020
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Illegal logging reaches Amazon’s untouched core, ‘terrifying’ research shows, September 2021
Juliana Ennes · 2021
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Open-Ended Learning Leads to Generally Capable Agents, July 2021
Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michael Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, and Wojciech Marian Czarnecki · 2021
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Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot, July 2021
Joel Z. Leibo, Edgar Duéñez-Guzmán, Alexander Sasha Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charles Beattie, Igor Mordatch, and Thore Graepel · 2021
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Reinforcement Learning in Economics and Finance
Arthur Charpentier, Romuald Élie, and Carl Remlinger · 2021
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On the Importance of Environments in Human-Robot Coordination
Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, and Stefanos Nikolaidis · 2021
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The Power of Communication in a Distributed Multi-Agent System
Philipp Dominic Siedler · 2021
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Reforestation Using Drones and Deep Learning Techniques
Gandham Venkata Sai Lohit · 2021
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Proximal Policy Optimization — Spinning Up documentation, 2021
Spinning Up OpenAI · 2021
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New Data Confirms: Forest Fires Are Getting Worse, August 2022
James MacCarthy, Sasha Tyukavina, Mikaela Weisse, and Nancy Harris · 2022
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Global Trends of Forest Loss Due to Fire From 2001 to 2019
Alexandra Tyukavina, Peter Potapov, Matthew C. Hansen, Amy H. Pickens, Stephen V. Stehman, Svetlana Turubanova, Diana Parker, Viviana Zalles, André Lima, Indrani Kommareddy, Xiao-Peng Song, Lei Wang, and Nancy Harris · 2022
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Philipp Dominic Siedler · 2022
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Will drones revolutionize home delivery? Let’s get real…
James F. Campbell · 2022
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Toward a Modern Last-Mile Delivery: Consequences and Obstacles of Intelligent Technology
Shahryar Sorooshian, Shila Khademi Sharifabad, Mehrdad Parsaee, and Ali Reza Afshari · 2022
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Teamsters Confront Amazon: An Early Assessment - Ellen Reese, Jake Alimahomed-Wilson, 2022
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