| Machine Teaching of Active Sequential Learners T Peltola, MM Çelikok, P Daee, S Kaski 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 32 | 2019 |
| Interactive AI with a Theory of Mind MM Çelikok, T Peltola, P Daee, S Kaski ACM CHI 2019 Workshop: Computational Modeling in Human-Computer Interaction, 2019 | 24 | 2019 |
| Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs MM Çelikok, FA Oliehoek, S Kaski AAMAS '22: Proceedings of the 21st International Conference on Autonomous …, 2022 | 9 | 2022 |
| Modelling Needs User Modelling MM Çelikok, PA Murena, S Kaski Frontiers in Artificial Intelligence 6, 61, 2023 | 6 | 2023 |
| Modelling user’s theory of ai’s mind in interactive intelligent systems T Peltola, MM Celikok, P Daee, S Kaski arXiv preprint arXiv:1809.02869 9, 2018 | 5 | 2018 |
| Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems M Suau, J He, MM Çelikok, MTJ Spaan, FA Oliehoek 36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 3 | 2022 |
| Teaching to Learn: Sequential Teaching of Learners with Internal States MM Çelikok, PA Murena, S Kaski Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5939-5947, 2023 | 2* | 2023 |
| Uncoupled Learning of Differential Stackelberg Equilibria with Commitments R Loftin*, MM Çelikok*, H Van Hoof, S Kaski, FA Oliehoek AAMAS '24: Proceedings of the 23rd International Conference on Autonomous …, 2024 | 1 | 2024 |
| Model-based Multi-agent Reinforcement Learning for AI Assistants MM Çelikok Aalto University, 2023 | 1 | 2023 |
| Differentiable User Models A Hämäläinen, MM Çelikok, S Kaski The 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023), 2023 | 1 | 2023 |
| SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments H Aydın, K Dubois-Godin, LG Braz, F Hengst, K Baraka, MM Çelikok, ... arXiv preprint arXiv:2501.19245, 2025 | | 2025 |
| On the Complexity of Learning to Cooperate with Populations of Socially Rational Agents R Loftin, S Bandyopadhyay, MM Çelikok arXiv preprint arXiv:2407.00419, 2024 | | 2024 |
| Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory MM Çelikok, FA Oliehoek, JW van de Meent arXiv preprint arXiv:2405.19024, 2024 | | 2024 |
| Towards a Unifying Model of Rationality in Multiagent Systems R Loftin, MM Çelikok, FA Oliehoek The 14th Workshop on Optimization and Learning in Multiagent Systems …, 2023 | | 2023 |
| Agent Robustness to Negative Interruptions: A Multi-agent Learning Approach MM Çelikok, T Peltola, S Kaski Bridging Game Theory and Deep Learning Workshop NeurIPS 2019 (Smooth Games …, 2019 | | 2019 |
| Theory of Mind Based Models in Human-AI Interaction M Çelikok | | 2018 |
| Differentiable User Models (Supplementary Material) A Hämäläinen, MM Çelikok, S Kaski | | |
Samuel KaskiProfessor, Aalto University and University of ManchesterVerified email at aalto.fi
