Improving human decision-making by discovering efficient strategies for hierarchical planning S Consul, L Heindrich, J Stojcheski, F Lieder Computational Brain & Behavior 5 (2), 185-216, 2022 | 17 | 2022 |
Leveraging Machine Learning to Automatically Derive Robust Planning Strategies from Biased Models of the Environment. A Kemtur, YR Jain, A Mehta, F Callaway, S Consul, J Stojcheski, F Lieder 42nd Annual Virtual Meeting of the Cognitive Science Society - CogSci 2020, 2020 | 9 | 2020 |
Leveraging machine learning to automatically derive robust decision strategies from imperfect knowledge of the real world A Mehta, YR Jain, A Kemtur, J Stojcheski, S Consul, M Tošić, F Lieder Computational Brain & Behavior 5 (3), 343-377, 2022 | 5 | 2022 |
Leveraging AI for Effective To-Do List Gamification S Consul, J Stojcheski, F Lieder 5th International Workshop “Gam-R – Gamification Reloaded”, 2022 | 4 | 2022 |
A cautionary tale about AI-generated goal suggestions F Lieder, PZ Chen, J Stojcheski, S Consul, V Pammer-Schindler Proceedings of Mensch und Computer 2022, 354-359, 2022 | 3 | 2022 |
Leveraging ai to improve human planning in large partially observable environments L Heindrich, S Consul, F Lieder arXiv preprint arXiv:2302.02785, 2023 | 2 | 2023 |
Optimal To-Do List Gamification for Long Term Planning S Consul, J Stojcheski, V Felso, F Lieder arXiv preprint arXiv:2109.06505, 2021 | 2 | 2021 |
Improving Human Decision-Making using Metalevel-RL and Bayesian Inference A Kemtur, YR Jain, A Mehta, F Callaway, S Consul, J Stojcheski, F Lieder | | |