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Autonomous Agents and Multi-Agent Systems

Ausgabe 2/2023

Inhalt (26 Artikel)

Algorithms for partially robust team formation

Nicolas Schwind, Emir Demirović, Katsumi Inoue, Jean-Marie Lagniez

Actor-critic multi-objective reinforcement learning for non-linear utility functions

Mathieu Reymond, Conor F. Hayes, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé

Open Access

Using psychological characteristics of situations for social situation comprehension in support agents

Ilir Kola, Catholijn M. Jonker, M. Birna van Riemsdijk

Open Access

Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning

Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion

Open Access

Symbolic knowledge injection meets intelligent agents: QoS metrics and experiments

Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini

Non-chaotic limit sets in multi-agent learning

Aleksander Czechowski, Georgios Piliouras

Deploying vaccine distribution sites for improved accessibility and equity to support pandemic response

George Z. Li, Ann Li, Madhav Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti

Balancing fairness and efficiency in traffic routing via interpolated traffic assignment

Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone

Full communication memory networks for team-level cooperation learning

Yutong Wang, Yizhuo Wang, Guillaume Sartoretti

A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents

Tongtong Liu, Joe McCalmon, Thai Le, Md Asifur Rahman, Dongwon Lee, Sarra Alqahtani

Open Access

Combining theory of mind and abductive reasoning in agent-oriented programming

Nieves Montes, Michael Luck, Nardine Osman, Odinaldo Rodrigues, Carles Sierra

Open Access

Hardness of candidate nomination

Katarína Cechlárová, Julien Lesca, Diana Trellová, Martina Hančová, Jozef Hanč

Open Access

A multi-scenario approach to continuously learn and understand norm violations

Thiago Freitas dos Santos, Nardine Osman, Marco Schorlemmer

Update

Generating and choosing organisations for multi-agent systems

Cleber J. Amaral, Jomi F. Hübner, Stephen Cranefield

Research

Price of anarchy of traffic assignment with exponential cost functions

Jianglin Qiao, Dave de Jonge, Dongmo Zhang, Simeon Simoff, Carles Sierra, Bo Du

Open Access

Connected coordinated motion planning with bounded stretch

Sándor P. Fekete, Phillip Keldenich, Ramin Kosfeld, Christian Rieck, Christian Scheffer

A family of strategyproof mechanisms for activity scheduling

Xinping Xu, Jingwen Zhang, Minming Li, Lingjie Duan, Lihua Xie

ASN: action semantics network for multiagent reinforcement learning

Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao

A normative approach for resilient multiagent systems

Geeta Mahala, Özgür Kafalı, Hoa Dam, Aditya Ghose, Munindar P. Singh

Open Access

RGS: RDF graph synchronization for collaborative robotics

Cyrille Berger, Patrick Doherty, Piotr Rudol, Mariusz Wzorek