AAMAS (Autonomous Agents and Multi-Agent Systems / International Conference on Autonomous Agents and MultiAgent Systems)
Tang, S.Y., Irissappane, A.A., Oliehoek, F.A. and Zhang, J., 2023. Teacher-apprentices RL (TARL): leveraging complex policy distribution through generative adversarial hypernetwork in reinforcement learning. Autonomous Agents and Multi-Agent Systems, 37(2), p.25. [ www]
Ho, F. and Nakadai, S., 2023. Preference-based multi-objective multi-agent path finding. Autonomous Agents and Multi-Agent Systems, 37(1), p.12. [ www]
Dodevska, Z., Petrović, A., Radovanović, S. and Delibašić, B., 2023. Changing criteria weights to achieve fair VIKOR ranking: a postprocessing reranking approach. Autonomous Agents and Multi-Agent Systems, 37(1), p.9. [ www]
Cuccu, G., Togelius, J. and Cudré-Mauroux, P., 2021. Playing Atari with few neurons. Autonomous Agents and Multi-Agent Systems, 35(2), pp.1-23. [ www ] (NES)
Tang, S.Y., Irissappane, A.A., Oliehoek, F.A. and Zhang, J., 2021, May. Learning Complex Policy Distribution with CEM Guided Adversarial Hypernetwork. In AAMAS (pp. 1308-1316). [ www | pdf]
Tang, Y., 2021, May. Guiding evolutionary strategies with off-policy actor-critic. In AAMAS (pp. 1317-1325). [ www | pdf]
Żychowski, A. and Mańdziuk, J., 2021, May. Evolution of strategies in sequential security games. In Proceedings of the 20th AAMAS Conference (pp. 1434-1442). [ www | pdf]
Romero, Alejandro, Francisco Bellas, and Richard J. Duro. "An Autonomous Drive Balancing Strategy for the Design of Purpose in Open-ended Learning Robots." In AAMAS, pp. 1631-1633. 2021. [ www | pdf]
Santos, F.P., Mascarenhas, S.F., Santos, F.C., Correia, F., Gomes, S. and Paiva, A., 2019, May. Outcome-based Partner Selection in Collective Risk Dilemmas. In AAMAS (pp. 1556-1564). [ www | pdf]
De Bufala, N. and Kant, J.D., 2019, May. An evolutionary approach to find optimal policies with an agent-based simulation. In 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019). [ www | pdf]
Mason, K., Duggan, J. and Howley, E., 2018. Maze navigation using neural networks evolved with novelty search and differential evolution. In Adaptive and learning agents workshop (at ICML-AAMAS 2018). [pdf]
Wang, B., Osawa, H. and Satoh, K., 2018, July. How Implicit Communication Emerges during Conversation Game. In AAMAS (pp. 2118-2120). [ www | pdf]
Zivan, R., Parash, T., Cohen, L., Peled, H. and Okamoto, S., 2017. Balancing exploration and exploitation in incomplete min/max-sum inference for distributed constraint optimization. Autonomous Agents and Multi-Agent Systems, 31, pp.1165-1207. [ www | pdf]
Morales, J., Wooldridge, M., Rodríguez-Aguilar, J. and López-Sánchez, M., 2017. Evolutionary synthesis of stable normative systems. AAMAS 2017. [ www | pdf]
Pereira, L.M., Lenaerts, T., Martinez-Vaquero, L.A. and The Anh Han, 2017, May. Social Manifestation of Guilt Leads to Stable Cooperation in Multi-Agent Systems. In AAMAS (pp. 1422-1430). [ www | pdf]
Silva, F., Christensen, A.L. and Correia, L., 2015, May. Engineering online evolution of robot behaviour (Doctoral Consortium). In Proceedings of International Conference on Autonomous Agents and MultiAgent Systems (pp. 2017-2018). [ www | pdf ]
Silva, F., Correia, L. and Christensen, A.L., 2015, May. R-HybrID: Evolution of agent controllers with a hybrisation of indirect and direct encodings. In Proceedings of International Conference on Autonomous Agents and MultiAgent Systems (pp. 735-744). [ www | pdf ]
Bazzan, A.L. and Chira, C., 2015, May. A hybrid evolutionary and multiagent reinforcement learning approach to accelerate the computation of traffic assignment. In AAMAS (pp. 1723-1724). [ www | pdf]
Mokom, F. and Kobti, Z., 2015, May. Exploiting objects as artifacts in multi-agent based social simulations. In AAMAS (pp. 1869-1870). [ www | pdf]
Jiang, S., Zhang, J. and Ong, Y.S., 2013, May. An evolutionary model for constructing robust trust networks. In AAMAS (Vol. 13, pp. 813-820). [ www | pdf]
Urieli, D., MacAlpine, P., Kalyanakrishnan, S., Bentor, Y. and Stone, P., 2011, May. On optimizing interdependent skills: a case study in simulated 3D humanoid robot soccer. In The 10th International Conference on Autonomous Agents and Multiagent Systems (pp. 769–776). [ www | pdf ]
Jiang, S., Zhang, J. and Ong, Y.S., 2012, June. A multiagent evolutionary framework based on trust for multiobjective optimization. In AAMAS (pp. 299-306). [ www | pdf]
Raghunandan, M.A. and Subramanian, C.A., 2012, June. Sustaining cooperation on networks: an analytical study based on evolutionary game theory. In AAMAS (Vol. 12, pp. 913-920). [ www | pdf]
Colby, M.K. and Tumer, K., 2012, June. Shaping fitness functions for coevolving cooperative multiagent systems. In AAMAS (Vol. 1, pp. 425-432). [ www | pdf]
D'Ambrosio, D.B., Lehman, J., Risi, S. and Stanley, K.O., 2010, May. Evolving policy geometry for scalable multiagent learning. In Proceedings of International Conference on Autonomous Agents and MultiAgent Systems (pp. 731-738). [ www | pdf ]