Adaptive Learning Agents 2018
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
Effects of parity, sympathy and reciprocity in increasing social welfare
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- The Knowledge Engineering Review / Volume 35 / 2020
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- 23 June 2020, e31
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Toll-based reinforcement learning for efficient equilibria in route choice
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- The Knowledge Engineering Review / Volume 35 / 2020
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- 05 March 2020, e8
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Action learning and grounding in simulated human–robot interactions
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- The Knowledge Engineering Review / Volume 34 / 2019
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- 12 November 2019, e13
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Two-level Q-learning: learning from conflict demonstrations
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- The Knowledge Engineering Review / Volume 34 / 2019
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- 12 November 2019, e14
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Pre-training with non-expert human demonstration for deep reinforcement learning
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- The Knowledge Engineering Review / Volume 34 / 2019
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- 26 July 2019, e10
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Introspective Q-learning and learning from demonstration
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- The Knowledge Engineering Review / Volume 34 / 2019
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- 01 January 2019, e8
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Editorial
Special issue on adaptive and learning agents 2018
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- The Knowledge Engineering Review / Volume 36 / 2021
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- 28 April 2021, e7
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Research Article
Fully distributed actor-critic architecture for multitask deep reinforcement learning
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- The Knowledge Engineering Review / Volume 36 / 2021
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- 16 April 2021, e6
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Safe option-critic: learning safety in the option-critic architecture
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- The Knowledge Engineering Review / Volume 36 / 2021
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- 07 April 2021, e4
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Improving trust and reputation assessment with dynamic behaviour
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- The Knowledge Engineering Review / Volume 35 / 2020
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- 17 June 2020, e29
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Team learning from human demonstration with coordination confidence
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- The Knowledge Engineering Review / Volume 34 / 2019
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- 05 November 2019, e12
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