Citation Impact
Citing Papers
Elo ratings for structural credit assignment in multiagent systems
2013
Training Agent for First-Person Shooter Game with Actor-Critic Curriculum Learning
2017
Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games.
2017
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
2008
Is multiagent deep reinforcement learning the answer or the question? A brief survey
2018
Computations Underlying Social Hierarchy Learning: Distinct Neural Mechanisms for Updating and Representing Self-Relevant Information
2016 StandoutNobel
The Cambridge Handbook of Artificial Intelligence
2014
Mastering the game of Go without human knowledge
2017 StandoutNatureNobel
Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning
2015
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
2021 Standout
Evolutionary game theory and multi-agent reinforcement learning
2005
Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems
2012
If multi-agent learning is the answer, what is the question?
2007
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
2021 Standout
Brave new world: service robots in the frontline
2018 Standout
How can primary school students learn self-regulated learning strategies most effectively?
2008 Standout
Deep Learning Approach for Intelligent Intrusion Detection System
2019 Standout
A thorough analysis of renewable hydrogen projects development in Uzbekistan using MCDM methods
2021 Standout
Cooperative Multi-Agent Learning: The State of the Art
2005
Evolutionary Dynamics of Multi-Agent Learning: A Survey
2015
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
2017
Multi-objectivization and ensembles of shapings in reinforcement learning
2017
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
2020 Standout
The world of independent learners is not markovian
2011
Application of deep reinforcement learning to intrusion detection for supervised problems
2019
Data mining and machine learning methods for sustainable smart cities traffic classification: A survey
2020
Multi-agent learning and the descriptive value of simple models
2007 StandoutNobel
A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection
2018
The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes
2019 Standout
Human-level performance in 3D multiplayer games with population-based reinforcement learning
2019 StandoutScienceNobel
Artificial Intelligence: A New Synthesis
1998
IDENTIFYING AND PRIORITIZING COST REDUCTION SOLUTIONS IN THE SUPPLY CHAIN BY INTEGRATING VALUE ENGINEERING AND GRAY MULTI-CRITERIA DECISION-MAKING
2020
Multiagent systems: algorithmic, game-theoretic, and logical foundations
2009 Standout
Blockchain in Industries: A Survey
2019 Standout
A survey on ensemble learning
2019 Standout
Wikipedia-based Semantic Interpretation for Natural Language Processing
2009
A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership
2022 Standout
Business model innovation and value-creation: the triadic way
2018
A Comprehensive Survey of Multiagent Reinforcement Learning
2008 Standout
Deep Reinforcement Learning: A Brief Survey
2017 Standout
ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
2023 Standout
Ant Algorithms for Discrete Optimization
1999 Standout
Automated Negotiation: Prospects, Methods and Challenges
2001 Standout
Social capital and the digital crowd: Involving backers to promote new product innovativeness
2019
A survey and critique of multiagent deep reinforcement learning
2019
Autonomous agents modelling other agents: A comprehensive survey and open problems
2018
Biasing Coevolutionary Search for Optimal Multiagent Behaviors
2006
Counterfactual Multi-Agent Policy Gradients
2018 Standout
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques
2020 Standout
Use of hybrid MCDM methods for site location of solar-powered hydrogen production plants in Uzbekistan
2022 Standout
The Impact of Blockchain on the Music Industry
2018
Works of Daniel Kudenko⋆ being referenced
Reinforcement learning of coordination in cooperative multi-agent systems
2002
Potential-based difference rewards for multiagent reinforcement learning
2014
Multi-agent Reinforcement Learning for Intrusion Detection.
2007
Theoretical considerations of potential-based reward shaping for multi-agent systems
2011
Feature generation for sequence categorization
1998
Reinforcement Learning of Coordination in Heterogeneous Cooperative Multi-Agent Systems
2004
From value chains to technological platforms: The effects of crowdfunding in the digital game industry
2017
Learning in multi-agent systems
2001
Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning
2003
Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence
2014
Distributed response to network intrusions using multiagent reinforcement learning
2015
An empirical analysis of terminological representation systems
1994
AN EMPIRICAL STUDY OF POTENTIAL-BASED REWARD SHAPING AND ADVICE IN COMPLEX, MULTI-AGENT SYSTEMS
2011