Adaptive Learning Agents 2016
The Adaptive and Learning Agents (ALA) community aims to develop agent-based systems which are autonomous and which employ learning and adaption to achieve their design goals. Inspiration for the design of these systems is drawn from diverse fields such as multi-agent systems, game theory, evolutionary computation, multi-objective optimisation, machine learning and cognitive science. The Adaptive and Learning Agents Workshop has been held yearly in conjunction with the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) since 2009. The goal of this workshop series is to increase awareness of and interest in adaptive agent research, encourage collaboration and provide an interdisciplinary forum for discussion of the latest methods and results. The series of ALA special issues in The Knowledge Engineering Review gather together extended versions of selected papers that were initially presented at the ALA workshops over the last number of years. These article collections give a representative overview of current research trends in the field of Adaptive and Learning Agents.
Adaptive and Learning Agents
Limits and limitations of no-regret learning in games
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- The Knowledge Engineering Review / Volume 32 / 2017
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- 13 October 2017, e21
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Autonomous Unmanned Aerial Vehicle (UAV) landing in windy conditions with MAP-Elites
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- The Knowledge Engineering Review / Volume 32 / 2017
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- 15 September 2017, e20
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Environmental effects on simulated emotional and moody agents
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- The Knowledge Engineering Review / Volume 32 / 2017
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- 24 August 2017, e19
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Multi-agent credit assignment in stochastic resource management games
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- The Knowledge Engineering Review / Volume 32 / 2017
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- 24 August 2017, e16
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Preface to the special issue: adaptive and learning agents
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- The Knowledge Engineering Review / Volume 32 / 2017
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- 24 August 2017, e17
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