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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 6 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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    13Download preprint from source133
    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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    19Download preprint from source110
    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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    26Download preprint from source96
    Modeling conversation policies using permissions and obligations
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    Learning to communicate in a decentralized environment
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