A Comprehensive Survey of Multiagent Reinforcement Learning
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- Type
- article
- Published
- 2008-03-01
- Cited by
- 2,294
- References
- 147
- Access
- Open access
- OpenAlex
- https://openalex.org/W2099618002
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:206794869
Keywords
Reinforcement learning, Viewpoints, Computer science, Artificial intelligence, Field (mathematics)
References
- Rational and Convergent Learning in Stochastic Games
- Nash Convergence of Gradient Dynamics in General-Sum Games
- Multiagent Reinforcement Learning with Adaptive State Focus
- Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information
- Improving coevolutionary search for optimal multiagent behaviors
- When Evolving Populations is Better than Coevolving Individuals: The Blind Mice Problem
- Unsupervised learning : foundations of neural computation
- Learning from Data
- Stock Trading System Using Reinforcement Learning with Cooperative Agents
- The 2001 trading agent competition
- Multiagent learning in the presence of agents with limitations
- Asymmetric multiagent reinforcement learning
- RoboCup 2005: Robot Soccer World Cup IX
- Reinforcement Learning in the Multi-Robot Domain
- Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
- Adaptive Load Balancing: A Study in Multi-Agent Learning
- Convergence Problems of General-Sum Multiagent Reinforcement Learning
- Planning, Learning and Coordination in Multiagent Decision Processes
- Strongly Typed Genetic Programming in Evolving Cooperation Strategies
- The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models
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- Negotiated Learning for Smart Grid Agents: Entity Selection based on Dynamic Partially Observable Features
- Exploration strategies in n-Person general-sum multiagent reinforcement learning with sequential action selection
- A Review of Learning Methods Enhanced in Strategies of Negotiating Agents
- Environment-driven Distributed Evolutionary Adaptation for Collective Robotic Systems. (Evolution Artificielle pour la Robotique Collective en Environnement Ouvert)
- Multi-Agent Actor-Critic Reinforcement Learning for Cooperative Tasks
- Gaze control for visually guided manipulation
- Theoretical considerations of potential-based reward shaping for multi-agent systems
- An integrated simulation, learning and game-theoretic framework for supply chain competition
- Multi-agent learning in complex environments
- Pedestrian Leadership and Egress Assistance Simulation Environment (PLEASE)
- Learning against non-stationary opponents
- Modèles de la rationalité des acteurs sociaux. (Models for the rationality of social actors)
- Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams
- Bayes-Adaptive Interactive POMDPs
- Intelligent Automatic Generation Control
- Using "social actions" and RL algorithms to build policies in Dec-POMDP
- Principles of Cognitive Radio
- CLEAN Learning to Improve Coordination and Scalability in Multiagent Systems
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