GRID-FRIENDS

Scientific Publications

Lezama, F., Soares, J., Hernandez-Leal, P., Kaisers, M., Pinto, T., & do Vale, Z. M. A. (2018). Local Energy Markets: Paving the Path Towards Fully Transactive Energy Systems. IEEE Transactions on Power Systems.

Hernandez-Leal, P., Kaisers, M., Baarslag, T., & de Cote, E. M. (2017). A survey of learning in multiagent environments: Dealing with non-stationarity. arXiv preprint arXiv:1707.09183. Under review.

Chakraborty, S., Hernandez-Leal, P., & Kaisers, M. An Exchange Mechanism to Coordinate Flexibility: a Case Study on Energy Cooperatives. Submitted to IEEE Power & Energy Society General Meeting 2018.

Pappi, I., Baarslag, T., Kaisers, M., & Paterakis, N. G. An Uncertainty-Aware Online Planning Algorithm for the Sustainable Electrification of Festivals. Submitted to IEEE Power & Energy Society General Meeting 2018.

Furukakoi, M., Sediqi, M. M., Chakraborty, S., Hassan, M. A. M., & Senjyu, T. (2017, October). Multi-objective optimal operation with demand management and voltage stability. In 17th International Conference on Control, Automation and Systems (ICCAS) (pp. 383-388). IEEE.

Baarslag, T., Kaisers, M., Gerding, E., Jonker, C. M., & Gratch, J. (2017, August). When will negotiation agents be able to represent us? The challenges and opportunities for autonomous negotiators. In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17) (pp. 4684-4690).

Hernandez-Leal, P., & Kaisers, M. (2017, July). Learning against sequential opponents in repeated stochastic games. In Proceedings of The 3rd Multi-disciplinary Conference on Reinforcement Learning and Decision Making, Ann Arbor.

Baarslag, T., & Kaisers, M. (2017, May). The value of information in automated negotiation: A decision model for eliciting user preferences. In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (pp. 391-400).

Baarslag, T., Kaisers, M., Gerding, E. H., Jonker, C. M., & Gratch, J. (2017, May). Computers that negotiate on our behalf: Major challenges for self-sufficient, self-directed, and interdependent negotiating agents. In: Sukthankar G., Rodriguez-Aguilar J. (eds). AAMAS 2017 Visionary Papers. Lecture Notes in Computer Science, vol 10643. Springer, Cham.

Hernandez-Leal, P., & Kaisers, M. (2017, May) Towards a Fast Detection of Opponents in Repeated Stochastic Games. In: Sukthankar G., Rodriguez-Aguilar J. (eds). AAMAS 2017 Best Papers. Lecture Notes in Computer Science, vol 10642. Springer, Cham.

Hernandez-Leal, P., Zhan, Y., Taylor, M. E., Sucar, L. E., & Munoz de Cote, E. (2017, May). Detecting Switches Against Non-Stationary Opponents. In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (pp. 920-921).

Hernandez-Leal, P., Zhan, Y., Taylor, M. E., Sucar, L. E., & Munoz de Cote, E. (2017, May). An Exploration Strategy Facing Non-Stationary Agents. In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (pp. 922-923).

Klima, R., Bloembergen, D., Kaisers, M., & Tuyls, K. (2018, October). Towards learning to best respond when losing control. In European Workshop on Reinforcement Learning (EWRL), Lille, France.

Klima, R., Bloembergen, D., Kaisers, M., & Tuyls, K. (2018, July). Learning robust policies when losing control. In Adaptive and Learning Agents workshop at the Federated AI Meeting (ALA), Stockholm, Sweden.

Serrano-Cuevas, J., Morales, E. F., Hernandez-Leal, P., Bloembergen, D., & Kaisers, M. (2018, July). Learning on a Budget Using Distributional RL. In Adaptive and Learning Agents workshop at the Federated AI Meeting (ALA), Stockholm, Sweden.