- Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion:
Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 26 (2023) - Florence Ho, Shinji Nakadai:
Preference-based multi-objective multi-agent path finding. Auton. Agents Multi Agent Syst. 37(1): 12 (2023) - Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone:
Balancing fairness and efficiency in traffic routing via interpolated traffic assignment. Auton. Agents Multi Agent Syst. 37(2): 32 (2023) - Nina Klobas, George B. Mertzios, Hendrik Molter, Rolf Niedermeier, Philipp Zschoche:
Interference-free walks in time: temporally disjoint paths. Auton. Agents Multi Agent Syst. 37(1): 1 (2023) - Ilir Kola, Catholijn M. Jonker, M. Birna van Riemsdijk:
Using psychological characteristics of situations for social situation comprehension in support agents. Auton. Agents Multi Agent Syst. 37(2): 24 (2023) - Jie Li, Runfeng Chen, Chang Wang, Yiting Chen, Yuchong Huang, Xiangke Wang:
A performance-impact based multi-task distributed scheduling algorithm with task removal inference and deadlock avoidance. Auton. Agents Multi Agent Syst. 37(2): 30 (2023) - George Z. Li, Ann Li, Madhav V. Marathe, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti:
Deploying vaccine distribution sites for improved accessibility and equity to support pandemic response. Auton. Agents Multi Agent Syst. 37(2): 31 (2023) - Tongtong Liu, Joe McCalmon, Thai Le, Md Asifur Rahman, Dongwon Lee, Sarra M. Alqahtani:
A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents. Auton. Agents Multi Agent Syst. 37(2): 34 (2023) - Geeta Mahala, Özgür Kafali, Hoa Khanh Dam, Aditya Ghose, Munindar P. Singh:
A normative approach for resilient multiagent systems. Auton. Agents Multi Agent Syst. 37(2): 46 (2023) - Nieves Montes, Michael Luck, Nardine Osman, Odinaldo Rodrigues, Carles Sierra:
Combining theory of mind and abductive reasoning in agent-oriented programming. Auton. Agents Multi Agent Syst. 37(2): 36 (2023) - Jianglin Qiao, Dave de Jonge, Dongmo Zhang, Simeon Simoff, Carles Sierra, Bo Du:
Price of anarchy of traffic assignment with exponential cost functions. Auton. Agents Multi Agent Syst. 37(2): 42 (2023) - Mathieu Reymond, Conor F. Hayes, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé:
Actor-critic multi-objective reinforcement learning for non-linear utility functions. Auton. Agents Multi Agent Syst. 37(2): 23 (2023) - Thiago Freitas dos Santos, Nardine Osman, Marco Schorlemmer:
A multi-scenario approach to continuously learn and understand norm violations. Auton. Agents Multi Agent Syst. 37(2): 38 (2023) - Nicolas Schwind, Emir Demirovic, Katsumi Inoue, Jean-Marie Lagniez:
Algorithms for partially robust team formation. Auton. Agents Multi Agent Syst. 37(2): 22 (2023) - Lera Shtutland, Dorin Shmaryahu, Ronen I. Brafman, Guy Shani:
Unavoidable deadends in deterministic partially observable contingent planning. Auton. Agents Multi Agent Syst. 37(1): 3 (2023) - Andries P. Smit, Herman A. Engelbrecht, Willie Brink, Arnu Pretorius:
Scaling multi-agent reinforcement learning to full 11 versus 11 simulated robotic football. Auton. Agents Multi Agent Syst. 37(1): 20 (2023) - Benjamin J. Smith, Robert Klassert, Roland Pihlakas:
Using soft maximin for risk averse multi-objective decision-making. Auton. Agents Multi Agent Syst. 37(1): 11 (2023) - Mohan Sridharan, Tiago Mota:
Towards combining commonsense reasoning and knowledge acquisition to guide deep learning. Auton. Agents Multi Agent Syst. 37(1): 4 (2023) - Ankang Sun, Bo Chen, Xuan Vinh Doan:
Equitability and welfare maximization for allocating indivisible items. Auton. Agents Multi Agent Syst. 37(1): 8 (2023) - Ankang Sun, Bo Chen, Xuan Vinh Doan:
Fairness criteria for allocating indivisible chores: connections and efficiencies. Auton. Agents Multi Agent Syst. 37(2): 39 (2023) - Shi Yuan Tang, Athirai A. Irissappane, Frans A. Oliehoek, Jie Zhang:
Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 25 (2023) - Liangde Tao, Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi:
Electoral manipulation via influence: probabilistic model. Auton. Agents Multi Agent Syst. 37(1): 18 (2023) - Yutong Wang, Yizhuo Wang, Guillaume Sartoretti:
Full communication memory networks for team-level cooperation learning. Auton. Agents Multi Agent Syst. 37(2): 33 (2023) - Xinping Xu, Jingwen Zhang, Minming Li, Lingjie Duan, Lihua Xie:
A family of strategyproof mechanisms for activity scheduling. Auton. Agents Multi Agent Syst. 37(2): 44 (2023) - Yongjie Yang, Jian-xin Wang:
Parameterized complexity of multiwinner determination: more effort towards fixed-parameter tractability. Auton. Agents Multi Agent Syst. 37(2): 28 (2023) - 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:
ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 45 (2023) - Yuanqiang Yu, Peng Zhang, Kai Zhao, Yan Zheng, Jianye Hao:
Accelerating deep reinforcement learning via knowledge-guided policy network. Auton. Agents Multi Agent Syst. 37(1): 17 (2023) - Changxi Zhu, Yi Cai, Shuyue Hu, Ho-fung Leung, Dickson K. W. Chiu:
Learning by reusing previous advice: a memory-based teacher-student framework. Auton. Agents Multi Agent Syst. 37(1): 14 (2023) - Roie Zivan, Ben Rachmut, Omer Perry, William Yeoh:
Effect of asynchronous execution and imperfect communication on max-sum belief propagation. Auton. Agents Multi Agent Syst. 37(2): 40 (2023) - 2022
- Amal Abdulrahman, Deborah Richards, Ayse Aysin Bilgin:
Exploring the influence of a user-specific explainable virtual advisor on health behaviour change intentions. Auton. Agents Multi Agent Syst. 36(1): 25 (2022)