Teaching and leading an ad hoc teammate: Collaboration without pre-coordination
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Sarit Kraus | Noa Agmon | Peter Stone | Jeffrey S. Rosenschein | Gal A. Kaminka | P. Stone | J. Rosenschein | Sarit Kraus | G. Kaminka | Noam Agmon
[1] Sandra Carberry,et al. Techniques for Plan Recognition , 2001, User Modeling and User-Adapted Interaction.
[2] A. Schotter,et al. An Experimental Study of Belief Learning Using Elicited Beliefs , 2002 .
[3] S. Hart,et al. A simple adaptive procedure leading to correlated equilibrium , 2000 .
[4] Sarit Kraus,et al. Collaborative Plans for Complex Group Action , 1996, Artif. Intell..
[5] Masaki Aoyagi,et al. Mutual Observability and the Convergence of Actions in a Multi-Person Two-Armed Bandit Model , 1998 .
[6] W. Hamilton,et al. The Evolution of Cooperation , 1984 .
[7] Andrew W. Moore,et al. Distributed Value Functions , 1999, ICML.
[8] J. S. Albus. Task decomposition , 1993, Proceedings of 8th IEEE International Symposium on Intelligent Control.
[9] Ra Kildare,et al. Ad-hoc online teams as complex systems: agents that cater for team interaction rules , 2004 .
[10] Yoav Shoham,et al. Essentials of Game Theory: A Concise Multidisciplinary Introduction , 2008, Essentials of Game Theory: A Concise Multidisciplinary Introduction.
[11] Michael H. Bowling,et al. Coordination and Adaptation in Impromptu Teams , 2005, AAAI.
[12] Edmund H. Durfee,et al. Rational Coordination in Multi-Agent Environments , 2000, Autonomous Agents and Multi-Agent Systems.
[13] Milind Tambe,et al. Towards Flexible Teamwork , 1997, J. Artif. Intell. Res..
[14] Brett Browning,et al. Dynamically formed heterogeneous robot teams performing tightly-coordinated tasks , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[15] Samuel Barrett and Peter Stone. Ad Hoc Teamwork Modeled with Multi-armed Bandits: An Extension to Discounted Infinite Rewards , 2011 .
[16] Michael N. Huhns,et al. Agents for establishing ad hoc cross-organizational teams , 2004 .
[17] Michael L. Littman,et al. Friend-or-Foe Q-learning in General-Sum Games , 2001, ICML.
[18] Jürgen Eichberger. Bayesian Learning in Repeated Normal Form Games , 1995 .
[19] Long-Ji Lin,et al. Self-improving reactive agents: case studies of reinforcement learning frameworks , 1991 .
[20] Long Ji Lin,et al. Self-improving reactive agents based on reinforcement learning, planning and teaching , 1992, Machine Learning.
[21] Michael Wooldridge,et al. Computational Aspects of Cooperative Game Theory (Synthesis Lectures on Artificial Inetlligence and Machine Learning) , 2011 .
[22] Godfrey Keller,et al. Strategic Experimentation with Poisson Bandits , 2009 .
[23] David C. Parkes,et al. A General Approach to Environment Design with One Agent , 2009, IJCAI.
[24] Philip R. Cohen,et al. Plans for Discourse , 2003 .
[25] Karen E. Lochbaum,et al. A Collaborative Planning Model of Intentional Structure , 1998, CL.
[26] Katia P. Sycara,et al. Distributed Intelligent Agents , 1996, IEEE Expert.
[27] Ronen I. Brafman,et al. On Partially Controlled Multi-Agent Systems , 1996, J. Artif. Intell. Res..
[28] Manuela M. Veloso,et al. Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork , 1999, Artif. Intell..
[29] Sandra Zilles,et al. Models of Cooperative Teaching and Learning , 2011, J. Mach. Learn. Res..
[30] H. Young,et al. The Evolution of Conventions , 1993 .
[31] Yoav Shoham,et al. Learning against opponents with bounded memory , 2005, IJCAI.
[32] Noa Agmon,et al. Leading ad hoc agents in joint action settings with multiple teammates , 2012, AAMAS.
[33] Sarit Kraus,et al. Learning Teammate Models for Ad Hoc Teamwork , 2012, AAMAS 2012.
[34] H. Peyton Young,et al. The Possible and the Impossible in Multi-Agent Learning , 2007, Artif. Intell..
[35] Sean Luke,et al. Cooperative Multi-Agent Learning: The State of the Art , 2005, Autonomous Agents and Multi-Agent Systems.
[36] Noa Agmon,et al. Ad hoc teamwork for leading a flock , 2013, AAMAS.
[37] Gal A. Kaminka,et al. Integration of Coordination Mechanisms in the BITE Multi-Robot Architecture , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[38] Candace L. Sidner,et al. Plan parsing for intended response recognition in discourse 1 , 1985, Comput. Intell..
[39] Daijiro Okada,et al. Two-person repeated games with finite automata , 2000, Int. J. Game Theory.
[40] Michael N. Huhns,et al. Agents for establishing ad hoc cross-organizational teams , 2004, Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2004. (IAT 2004)..
[41] Andrew W. Moore,et al. Locally Weighted Learning for Control , 1997, Artificial Intelligence Review.
[42] Karen E. Lochbaum,et al. An Algorithm for Plan Recognition in Collaborative Discourse , 1991, ACL.
[43] Ayça Kaya,et al. When Does it Pay to Get Informed? , 2010 .
[44] Yoav Shoham,et al. Multi-Agent Reinforcement Learning:a critical survey , 2003 .
[45] Lehel Csató,et al. Sparse On-Line Gaussian Processes , 2002, Neural Computation.
[46] Robert J. Aumann,et al. 16. Acceptable Points in General Cooperative n-Person Games , 1959 .
[47] Peter Stone,et al. Online Multiagent Learning against Memory Bounded Adversaries , 2008, ECML/PKDD.
[48] L. Shapley. A Value for n-person Games , 1988 .
[49] Sarit Kraus,et al. Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination , 2010, AAAI.
[50] Edmund H. Durfee,et al. Recursive Agent Modeling Using Limited Rationality , 1995, ICMAS.
[51] Vincent Conitzer,et al. AWESOME: A general multiagent learning algorithm that converges in self-play and learns a best response against stationary opponents , 2003, Machine Learning.
[52] M. Cripps,et al. Strategic Experimentation with Exponential Bandits , 2003 .
[53] Sarit Kraus,et al. Empirical evaluation of ad hoc teamwork in the pursuit domain , 2011, AAMAS.
[54] Sarit Kraus,et al. The Evolution of Sharedplans , 1999 .
[55] Michael Wooldridge,et al. Computational Aspects of Cooperative Game Theory , 2011, KES-AMSTA.
[56] Moshe Tennenholtz,et al. Adaptive Load Balancing: A Study in Multi-Agent Learning , 1994, J. Artif. Intell. Res..
[57] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 2005, IEEE Transactions on Neural Networks.
[58] Dean Pomerleau,et al. ALVINN, an autonomous land vehicle in a neural network , 2015 .
[59] Ming Li,et al. Soft Control on Collective Behavior of a Group of Autonomous Agents By a Shill Agent , 2006, J. Syst. Sci. Complex..
[60] Daniel H. Grollman,et al. Dogged Learning for Robots , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[61] Noa Agmon,et al. Role-Based Ad Hoc Teamwork , 2011, AAAI.
[62] Edmund H. Durfee,et al. Blissful Ignorance: Knowing Just Enough to Coordinate Well , 1995, ICMAS.
[63] Erfu Yang,et al. Multi-robot systems with agent-based reinforcement learning: evolution, opportunities and challenges , 2009, Int. J. Model. Identif. Control..
[64] H. Robbins. Some aspects of the sequential design of experiments , 1952 .
[65] Peter Stone,et al. Leading a Best-Response Teammate in an Ad Hoc Team , 2009, AMEC/TADA.
[66] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[67] Jean Oh,et al. Electric Elves: Applying Agent Technology to Support Human Organizations , 2001, IAAI.
[68] Gita Sukthankar,et al. Toward identifying process models in ad hoc and distributed teams , 2008 .
[69] Manuela M. Veloso,et al. Modeling and learning synergy for team formation with heterogeneous agents , 2012, AAMAS.
[70] R. Aumann. Subjectivity and Correlation in Randomized Strategies , 1974 .
[71] Manuela M. Veloso,et al. Multiagent Systems: A Survey from a Machine Learning Perspective , 2000, Auton. Robots.
[72] Craig Boutilier,et al. The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems , 1998, AAAI/IAAI.
[73] H. Peyton Young,et al. Individual Strategy and Social Structure , 2020 .
[74] Feng Wu,et al. Online Planning for Ad Hoc Autonomous Agent Teams , 2011, IJCAI.
[75] Tim Roughgarden,et al. Algorithmic Game Theory , 2007 .
[76] Kee-Eung Kim,et al. Learning to Cooperate via Policy Search , 2000, UAI.