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    AAMAS   2007 International Joint Conference on Autonomous Agents and Multiagent Systems
    Wall of Fame | Most Viewed AAMAS-2007 Paper
    AAMAS
    2007
    Springer
    210views Intelligent Agents» more  AAMAS 2007»
    Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game
    14 years 10 months ago
    Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game
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    Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
    Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...
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    Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game
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    An agent architecture for multi-attribute negotiation using incomplete preference information
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    A formal framework for connective stability of highly decentralized cooperative negotiations
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    Networks of Learning Automata and Limiting Games
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    An algebra for commitment protocols
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    Optimal Control in Large Stochastic Multi-agent Systems
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    7Download preprint from source157
    Continuous-State Reinforcement Learning with Fuzzy Approximation
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    8Download preprint from source143
    Using Evolutionary Game-Theory to Analyse the Performance of Trading Strategies in a Continuous Double Auction Market
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    9Download preprint from source142
    Parallel Reinforcement Learning with Linear Function Approximation
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    10Download preprint from source139
    Agent communication and social concepts
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    11Download preprint from source137
    Applying game theory mechanisms in open agent systems with complete information
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    12Download preprint from source134
    Reaching pareto-optimality in prisoner's dilemma using conditional joint action learning
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    Local strategy learning in networked multi-agent team formation
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    14Download preprint from source130
    An experts approach to strategy selection in multiagent meeting scheduling
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    15Download preprint from source125
    Coordinating microscopic robots in viscous fluids
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    Bee Behaviour in Multi-agent Systems
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    17Download preprint from source117
    A framework for meta-level control in multi-agent systems
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    18Download preprint from source112
    Searching for close alternative plans
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    Conversational semantics sustained by commitments
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    20Download preprint from source106
    Mechanisms for environments in multi-agent systems: Survey and opportunities
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    21Download preprint from source104
    Modeling dynamic environments in multi-agent simulation
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    22Download preprint from source103
    Auctions, Evolution, and Multi-agent Learning
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    To Adapt or Not to Adapt - Consequences of Adapting Driver and Traffic Light Agents
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    Shaping multi-agent systems with gradient reinforcement learning
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    Generalized multiagent learning with performance bound
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    Modeling conversation policies using permissions and obligations
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    Learning to communicate in a decentralized environment
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