Related references
Note: Only part of the references are listed.Dec-MCTS: Decentralized planning for multi-robot active perception
Graeme Best et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2019)
A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems
Felipe Leno Da Silva et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2019)
Human-level performance in 3D multiplayer games with population-based reinforcement learning
Max Jaderberg et al.
SCIENCE (2019)
α-Rank: Multi-Agent Evaluation by Evolution
Shayegan Omidshafiei et al.
SCIENTIFIC REPORTS (2019)
Superhuman AI for heads-up no-limit poker: Libratus beats top professionals
Noam Brown et al.
SCIENCE (2018)
Autonomous agents modelling other agents: A comprehensive survey and open problems
Stefano V. Albrecht et al.
ARTIFICIAL INTELLIGENCE (2018)
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2018)
Human-Level Intelligence or Animal-Like Abilities?
Adnan Darwiche
COMMUNICATIONS OF THE ACM (2018)
Deep Reinforcement Learning for Sponsored Search Real-time Bidding
Jun Zhao et al.
KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)
An Introduction to Deep Reinforcement Learning
Vincent Francois-Lavet et al.
FOUNDATIONS AND TRENDS IN MACHINE LEARNING (2018)
Efficiently detecting switches against non-stationary opponents
Pablo Hernandez-Leal et al.
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS (2017)
On Monte Carlo Tree Search and Reinforcement Learning
Tom Vodopivec et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2017)
Mastering the game of Go without human knowledge
David Silver et al.
NATURE (2017)
DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
Matej Moravcik et al.
SCIENCE (2017)
LSTM: A Search Space Odyssey
Klaus Greff et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)
Multiagent cooperation and competition with deep reinforcement learning
Ardi Tampuu et al.
PLOS ONE (2017)
Bayesian policy reuse
Benjamin Rosman et al.
MACHINE LEARNING (2016)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
Evolutionary Dynamics of Multi-Agent Learning: A Survey
Daan Bloembergen et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2015)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Heads-up limit hold'em poker is solved
Michael Bowling et al.
SCIENCE (2015)
Multiagent learning in the presence of memory-bounded agents
Doran Chakraborty et al.
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS (2014)
How much does it help to know what she knows you know? An agent-based simulation study
Harmen de Weerd et al.
ARTIFICIAL INTELLIGENCE (2013)
Coevolving Game-Playing Agents: Measuring Performance and Intransitivities
Spyridon Samothrakis et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2013)
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2013)
Multiagent Learning: Basics, Challenges, and Prospects
Karl Tuyls et al.
AI MAGAZINE (2012)
Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems
Laetitia Matignon et al.
KNOWLEDGE ENGINEERING REVIEW (2012)
A Survey of Monte Carlo Tree Search Methods
Cameron B. Browne et al.
IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES (2012)
Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning
Jacob W. Crandall et al.
MACHINE LEARNING (2011)
Reinforcement learning in feedback control Challenges and benchmarks from technical process control
Roland Hafner et al.
MACHINE LEARNING (2011)
The world of independent learners is not markovian
Guillaume J. Laurent et al.
INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS (2011)
Analyzing and visualizing multiagent rewards in dynamic and stochastic domains
Adrian K. Agogino et al.
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS (2008)
A comprehensive survey of multiagent reinforcement learning
Lucian Busoniu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2008)
Optimal and approximate Q-value functions for decentralized POMDPs
Frans A. Oliehoek et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2008)
An analysis of model-based Interval Estimation for Markov Decision Processes
Alexander L. Strehl et al.
JOURNAL OF COMPUTER AND SYSTEM SCIENCES (2008)
If multi-agent learning is the answer, what is the question?
Yoav Shoham et al.
ARTIFICIAL INTELLIGENCE (2007)
A general criterion and an algorithmic framework for learning in multi-agent systems
Rob Powers et al.
MACHINE LEARNING (2007)
Adaptive importance sampling technique for Markov chains using stochastic approximation
T. P. I. Ahamed et al.
OPERATIONS RESEARCH (2006)
Cooperative multi-agent learning: The state of the art
L Panait et al.
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS (2005)
Dynamic fictitious play, dynamic gradient play, and distributed convergence to Nash equilibria
JS Shamma et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2005)
Robust reinforcement learning
J Morimoto et al.
NEURAL COMPUTATION (2005)
A framework for sequential planning in multi-agent settings
PJ Gmytrasiewicz et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2005)
A cognitive hierarchy model of games
CF Camerer et al.
QUARTERLY JOURNAL OF ECONOMICS (2004)
Solving transition independent decentralized Markov decision processes
R Becker et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2004)
Efficient solution algorithms for factored MDPs
C Guestrin et al.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (2003)
The complexity of decentralized control of Markov decision processes
DS Bernstein et al.
MATHEMATICS OF OPERATIONS RESEARCH (2002)
Multiagent learning using a variable learning rate
M Bowling et al.
ARTIFICIAL INTELLIGENCE (2002)
Cognition and behavior in normal-form games: An experimental study
M Costa-Gomes et al.
ECONOMETRICA (2001)
Rational coordination in multi-agent environments
PJ Gmytrasiewicz et al.
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS (2000)
Multiagent systems: A survey from a machine learning perspective
P Stone et al.
AUTONOMOUS ROBOTS (2000)
Convergence results for single-step on-policy reinforcement-learning algorithms
S Singh et al.
MACHINE LEARNING (2000)