| 2025 | ICML | Mastering Board Games by External and Internal Planning with Language Models. | John Schultz, Jakub Admek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev |
| 2023 | IJCAI | BRExIt: On Opponent Modelling in Expert Iteration. | Daniel Hernandez, Hendrik Baier, Michael Kaisers |
| 2022 | IJCAI | Online Planning in POMDPs with Self-Improving Simulators. | Jinke He, Miguel Suau, Hendrik Baier, Michael Kaisers, Frans A. Oliehoek |
| 2021 | GECCO | Novelty and MCTS. | Hendrik Baier, Michael Kaisers |
| 2021 | IJCAI | ME-MCTS: Online Generalization by Combining Multiple Value Estimators. | Hendrik Baier, Michael Kaisers |
| 2020 | FDG | Opponent-Pruning Paranoid Search. | Hendrik Baier, Michael Kaisers |
| 2019 | IJCAI | Automated Negotiation with Gaussian Process-based Utility Models. | Haralambie Leahu, Michael Kaisers, Tim Baarslag |
| 2017 | IJCAI | When Will Negotiation Agents Be Able to Represent Us? The Challenges and Opportunities for Autonomous Negotiators. | Tim Baarslag, Michael Kaisers, Enrico H. Gerding, Catholijn M. Jonker, Jonathan Gratch |
| 2016 | AAAI | Energy- and Cost-Efficient Pumping Station Control. | Timon V. Kanters, Frans A. Oliehoek, Michael Kaisers, Stan R. van den Bosch, Joep Grispen, Jeroen Hermans |
| 2016 | IJCAI | Incentivizing Intelligent Customer Behavior in Smart-Grids: A Risk-Sharing Tariff & Optimal Strategies. | Georgios Methenitis, Michael Kaisers, Han La Poutr |
| 2015 | AAAI | Bottom-Up Demand Response by Following Local Energy Generation Voluntarily. | Tobias Linnenberg, Alexander Fay, Michael Kaisers |
| 2012 | AAMAS | A common gradient in multi-agent reinforcement learning. | Michael Kaisers, Daan Bloembergen, Karl Tuyls |
| 2012 | AAMAS | A framework for modeling population strategies by depth of reasoning. | Michael Wunder, John Robert Yaros, Michael Kaisers, Michael L. Littman |
| 2012 | GECCO | Evolutionary advantage of foresight in markets. | Daniel Hennes, Daan Bloembergen, Michael Kaisers, Karl Tuyls, Simon Parsons |
| 2011 | AAAI | FAQ-Learning in Matrix Games: Demonstrating Convergence Near Nash Equilibria, and Bifurcation of Attractors in the Battle of Sexes. | Michael Kaisers, Karl Tuyls |
| 2011 | EUMAS | Multi-agent Learning and the Reinforcement Gradient. | Michael Kaisers, Daan Bloembergen, Karl Tuyls |
| 2010 | AAAI | A Cognitive Hierarchy Model Applied to the Lemonade Game. | Michael Wunder, Michael L. Littman, Michael Kaisers, John Robert Yaros |