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Forecast-Based Mechanisms for Demand Response., , и . AAMAS, стр. 1600-1608. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Bee-inspired foraging in an embodied swarm., , , , , , , и . AAMAS, стр. 1311-1312. IFAAMAS, (2011)Towards a Fast Detection of Opponents in Repeated Stochastic Games., и . AAMAS Workshops (Selected Papers), том 10642 из Lecture Notes in Computer Science, стр. 239-257. Springer, (2017)Addressing the policy-bias of q-learning by repeating updates., и . AAMAS, стр. 1045-1052. IFAAMAS, (2013)The value of online information for demand response in Walrasian electricity markets., , , и . ISGT Asia, стр. 1-6. IEEE, (2015)A Multiagent Approach to Hyper-Redundant Manipulators, , и . Proceedings of the AAMAS 2008 Workshop on Adaptive Learning Agents and Multi-Agent Systems (ALAMAS+ALAg 2008), Estoril, Portugal, (мая 2008)Reinforcement Learning in Multi-agent Games - A value iteration perspective. (2007)Empirical and Theoretical Support for Leniency in Cooperative Games (Extended abstract), , и . Proc. of 10th Intl. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2011), стр. 1105--1106. International Foundation for AAMAS, (2011)Replicator Dynamics for Multi-agent Learning - An Orthogonal Approach. Proc. of the 21st Benelux Conference on Artificial Intelligence (BNAIC 2009), стр. 113--120. Eindhoven, Eindhoven University of Technology, (2009)RESQ-learning in stochastic games, , и . Adaptive and Learning Agents (ALA 2010) Workshop, (2010)