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.

Bakker, J., Hammond, A., Bloembergen, D., & Baarslag, T. (2019, May). RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents. In Proc. of 18th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2019).

Klima, R., Bloembergen, D., Kaisers, M., & Tuyls, K. (2019, May). Robust temporal difference learning for critical domains. In Proc. of the 18th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2019).

Bloembergen, D., Grossi, D., & Lackner, M. (2019, January). On Rational Delegations in Liquid Democracy. In AAAI Conference on Artificial Intelligence (AAAI-19).

Kotriwala, A. M., Hernandez-Leal, P., & Kaisers, M. (2018, October). Load Classification and Forecasting for Temporary Power Installations. In 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE.

Chakraborty, S., Hernandez-Leal, P., & Kaisers, M. (2018, October). Coordinating Distributed and Flexible Resources: A Case-study of Residential Cooperatives. In 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). IEEE.

Chakraborty, S., Baarslag, T., & Kaisers, M. (2018, October). Energy Contract Settlements through Automated Negotiation in Residential Cooperatives. In 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE.

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. (2018, September). An uncertainty-aware online planning algorithm for the sustainable electrification of festivals. In 2018 International Conference on Smart Energy Systems and Technologies (SEST). IEEE.

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.