A survey and critique of multiagent deep reinforcement learning

A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems

(2019) Felipe Leno Da Silva et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Human-level performance in 3D multiplayer games with population-based reinforcement learning

(2019) Max Jaderberg et al.   SCIENCE

α-Rank: Multi-Agent Evaluation by Evolution

(2019) Shayegan Omidshafiei et al.   Scientific Reports

Autonomous agents modelling other agents: A comprehensive survey and open problems

(2018) Stefano V. Albrecht et al.   ARTIFICIAL INTELLIGENCE

Dec-MCTS: Decentralized planning for multi-robot active perception

(2018) Graeme Best et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

(2018) Marlos C. Machado et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Human-level intelligence or animal-like abilities?

(2018) Adnan Darwiche   COMMUNICATIONS OF THE ACM

Optimal and Approximate Q-value Functions for Decentralized POMDPs

(2018) F. A. Oliehoek et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

The Arcade Learning Environment: An Evaluation Platform for General Agents

(2018) M. G. Bellemare et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

On Monte Carlo Tree Search and Reinforcement Learning

(2017) Tom Vodopivec et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Superhuman AI for heads-up no-limit poker: Libratus beats top professionals

(2017) Noam Brown et al.   SCIENCE

DeepStack: Expert-level artificial intelligence in heads-up no-limit poker

(2017) Matej Moravčík et al.   SCIENCE

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Multiagent Learning: Basics, Challenges, and Prospects

(2017) Karl Tuyls et al.   AI MAGAZINE

Multiagent cooperation and competition with deep reinforcement learning

(2017) Ardi Tampuu et al.   PLoS One

Efficiently detecting switches against non-stationary opponents

(2016) Pablo Hernandez-Leal et al.   AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS

Bayesian policy reuse

(2016) Benjamin Rosman et al.   MACHINE LEARNING

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Evolutionary Dynamics of Multi-Agent Learning: A Survey

(2015) Daan Bloembergen et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Heads-up limit hold'em poker is solved

(2015) M. Bowling et al.   SCIENCE

How much does it help to know what she knows you know? An agent-based simulation study

(2013) Harmen de Weerd et al.   ARTIFICIAL INTELLIGENCE

Multiagent learning in the presence of memory-bounded agents

(2013) Doran Chakraborty et al.   AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS

Coevolving Game-Playing Agents: Measuring Performance and Intransitivities

(2012) Spyridon Samothrakis et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems

(2012) Laetitia Matignon et al.   KNOWLEDGE ENGINEERING REVIEW

A Survey of Monte Carlo Tree Search Methods

(2012) Cameron B. Browne et al.   IEEE Transactions on Computational Intelligence and AI in Games

Reinforcement learning in feedback control

(2011) Roland Hafner et al.   MACHINE LEARNING

Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning

(2010) Jacob W. Crandall et al.   MACHINE LEARNING

Analyzing and visualizing multiagent rewards in dynamic and stochastic domains

(2008) Adrian K. Agogino et al.   AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS

A Comprehensive Survey of Multiagent Reinforcement Learning

(2008) L. Busoniu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

An analysis of model-based Interval Estimation for Markov Decision Processes

(2008) Alexander L. Strehl et al.   JOURNAL OF COMPUTER AND SYSTEM SCIENCES