ACCEPTED CONTRIBUTIONS - DOCTORAL CONSORTIUM

Accepted Contributions

TitleAuthors
Learning to control reconfigurable multiagent systemsVallejo Manuel
Quantum-Enhanced Learning and Control for Multi-agent SystemsGandhi Meet
Accelerated Adaptive Decision Making for Autonomous Agents: Optimization and CoverageSiam Zakaria
Positional Properties in Temporal LogicNewman Jessica
Towards Multiagent Coordination Under Multiple Objectives and Sparse RewardsThakar Raghav
Complexity and Behaviour in Strategic Models of ElectionsCleveland Colin
Scalable Coalition Formation for Extremely Large CollectivesPusalkar Neha
Learning Preferences and Resolving Conflicts in Multi-User Personalisation in Human-Robot InteractionCivit Aniol
Cooperative Multi-Agent Alignment via Boolean Task Algebras and Team Morality ChainsRosen Simon
Scalable Strategies for Cooperative and Competitive Multi-Agent SystemsDouglas Grant
Faithful Language-Based Explanations for Decision-Making AgentsAdmoni Sahar
Grounded Communication Policies in Heterogeneous Agent Reinforcement LearningJustus Aju
Non-Bipartite Stable Matching and BeyondGlitzner Frederik
Causal Learning and Reasoning in Multi-Agent Reinforcement LearningBriglia Giovanni
Learning-Based Policy Design for Resource Planning and Pricing in Heterogeneous Multi-Leader–Multi-Follower SystemsAminikalibar Niloofar
Towards Detecting, Mitigating and Explaining Biased and Fallacious Reasoning in Large Language ModelsGutiérrez-Mandingorra Ana
Collaborative Decision-Making in Ad Hoc TeamsNigam Rupal
Neurosymbolic Framework for building Robust, Efficient, and Explainable Multi-Agent Enterprise SystemsGarimella Ritvik
Socio-Normative Trustworthiness of LLM Agents: Evaluating Autonomy Support and Representational Fairness Across Languages and IdentitiesHaez Saba
Multi-Agent Modeling of Food and Water Security Crises: From Historical Causation to Robust Policy DesignTaniushkina Daria
Scalable Uncertainty-Aware Decision Frameworks for Energy-Mobility Cyber-Physical SystemsSen Rishav
Towards Socially-Beneficial Multi-Agent Systems: Information, Mechanisms and DynamicsMadmon Omer
Neuro-Symbolic Decision Making for Autonomous AgentsVeronese Celeste
Toward High-Fidelity Multi-Agent Recommendation: An Agentic Design Framework Integrating RecoWorld and LLMsNeremzoiu Ionut-Dragos
An Algebraic Structuring of Epistemic States for BDI Agents in Uncertain EnvironmentsCosta Charles
Reputation As a New Route to Cooperation in Multi-Agent Reinforcement LearningGil Román
Auditable Institutional Coordination with Episodic Memory for Robust Evacuation under Multi-Source DisruptionSultimov Roman
Towards Fairness in Collective Decision Making: Constraints and ApproximationsGuo Yuhang
Explaining Agent IntentionsMontese Sara
Optimizing Urban Route Choice for Autonomous Vehicles using Multi-Agent Reinforcement LearningPsarou Anastasia
Cost-Aware Model Selection and Adaptive Reasoning in Large Language Models via Online LearningGharat Sarvesh
VEsNA: challenges and achievements of growing BDI embodied agentsGatti Andrea
From Fault Diagnosis to Agency: A Framework for Industrial AutonomyNeupane Dhiraj
Application of artificial intelligence for the retrieval, processing and generation of knowledge from clinical dataMartínez Leire