Abstract is missing.
- Fair Deep Reinforcement Learning with Generalized Gini Welfare FunctionsGuanbao Yu, Umer Siddique, Paul Weng. 3-29 [doi]
- The Value of Knowledge: Joining Reward and Epistemic Certainty Optimisation for Anxiety-Sensitive PlanningLinda Gutsche, Loïs Vanhée. 30-42 [doi]
- Learning Reward Machines in Cooperative Multi-agent TasksLeo Ardon, Daniel Furelos-Blanco, Alessandra Russo. 43-59 [doi]
- Discrete-Choice Multi-agent Optimization: Decentralized Hard Constraint Satisfaction for Smart CitiesSrijoni Majumdar, Chuhao Qin, Evangelos Pournaras. 60-76 [doi]
- Deliberation and Voting in Approval-Based Multi-winner ElectionsKanav Mehra, Nanda Kishore Sreenivas, Kate Larson. 77-93 [doi]
- Plan Generation via Behavior Trees Obtained from Goal-Oriented LTLf FormulasAadesh Neupane, Michael A. Goodrich, Eric G. Mercer. 97-122 [doi]
- Discovery and Analysis of Rare High-Impact Failure Modes Using Adversarial RL-Informed SamplingRory Lipkis, Adrian Agogino. 123-140 [doi]
- Anxiety Among Migrants - Questions for Agent SimulationVivek Nallur. 141-150 [doi]
- Should My Agent Lie for Me? Public Moral Perspectives on Deceptive AIStefan Sarkadi, Peidong Mei, Edmond Awad. 151-179 [doi]
- Neuro-Symbolic AI + Agent Systems: A First Reflection on Trends, Opportunities and ChallengesVaishak Belle, Michael Fisher, Alessandra Russo, Ekaterina Komendantskaya, Alistair Nottle. 180-200 [doi]
- Novelty Accommodating Multi-agent Planning in High Fidelity Simulated Open WorldJames Chao, Wiktor Piotrowski, Mitch Manzanares, Douglas S. Lange. 201-216 [doi]
- Towards Reducing School Segregation by Intervening on Transportation NetworksDimitris Michailidis, Mayesha Tasnim, Sennay Ghebreab, Fernando P. Santos. 217-227 [doi]