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AAMAS 2023: London, UK - Workshops Best and Visionary Papers
- Francesco Amigoni, Arunesh Sinha:
Autonomous Agents and Multiagent Systems. Best and Visionary Papers - AAMAS 2023 Workshops, London, UK, May 29 - June 2, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14456, Springer 2024, ISBN 978-3-031-56254-9
Best Papers
- Guanbao Yu, Umer Siddique, Paul Weng:
Fair Deep Reinforcement Learning with Generalized Gini Welfare Functions. 3-29 - Linda Gutsche, Loïs Vanhée:
The Value of Knowledge: Joining Reward and Epistemic Certainty Optimisation for Anxiety-Sensitive Planning. 30-42 - Leo Ardon, Daniel Furelos-Blanco, Alessandra Russo:
Learning Reward Machines in Cooperative Multi-agent Tasks. 43-59 - Srijoni Majumdar, Chuhao Qin, Evangelos Pournaras:
Discrete-Choice Multi-agent Optimization: Decentralized Hard Constraint Satisfaction for Smart Cities. 60-76 - Kanav Mehra, Nanda Kishore Sreenivas, Kate Larson:
Deliberation and Voting in Approval-Based Multi-winner Elections. 77-93
Visionary Papers
- Aadesh Neupane, Michael A. Goodrich, Eric G. Mercer:
Plan Generation via Behavior Trees Obtained from Goal-Oriented LTLf Formulas. 97-122 - Rory Lipkis, Adrian Agogino:
Discovery and Analysis of Rare High-Impact Failure Modes Using Adversarial RL-Informed Sampling. 123-140 - Vivek Nallur:
Anxiety Among Migrants - Questions for Agent Simulation. 141-150 - Stefan Sarkadi, Peidong Mei, Edmond Awad:
Should My Agent Lie for Me? Public Moral Perspectives on Deceptive AI. 151-179 - Vaishak Belle, Michael Fisher, Alessandra Russo, Ekaterina Komendantskaya, Alistair Nottle:
Neuro-Symbolic AI + Agent Systems: A First Reflection on Trends, Opportunities and Challenges. 180-200 - James Chao, Wiktor Piotrowski, Mitch Manzanares, Douglas S. Lange:
Novelty Accommodating Multi-agent Planning in High Fidelity Simulated Open World. 201-216 - Dimitris Michailidis, Mayesha Tasnim, Sennay Ghebreab, Fernando P. Santos:
Towards Reducing School Segregation by Intervening on Transportation Networks. 217-227
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