| Directions of Curvature as an Explanation for Loss of Plasticity A Lewandowski, H Tanaka, D Schuurmans, MC Machado arXiv preprint arXiv:2312.00246, 2023 | 14* | 2023 |
| Zorb: A derivative-free backpropagation algorithm for neural networks V Ranganathan, A Lewandowski arXiv preprint arXiv:2011.08895, 2020 | 5 | 2020 |
| Learning continually by spectral regularization A Lewandowski, M Bortkiewicz, S Kumar, A György, D Schuurmans, ... arXiv preprint arXiv:2406.06811, 2024 | 4 | 2024 |
| Reinforcement Teaching A Lewandowski, C Muslimani, D Schuurmans, ME Taylor, J Luo arXiv preprint arXiv:2204.11897, 2022 | 2 | 2022 |
| Batch Normalized Deep Kernel Learning for Weight Uncertainty A Lewandowski Bayesian Deep Learning Workshop (NIPS 2017), 2017 | 2 | 2017 |
| Plastic Learning with Deep Fourier Features A Lewandowski, D Schuurmans, MC Machado arXiv preprint arXiv:2410.20634, 2024 | 1 | 2024 |
| The Need for a Big World Simulator: A Scientific Challenge for Continual Learning S Kumar, HJ Jeon, A Lewandowski, B Van Roy arXiv preprint arXiv:2408.02930, 2024 | 1 | 2024 |
| Recurrent Open-loop Control in Offline Reinforcement Learning A Lewandowski, V Zhang, D Schuurmans Offline RL Workshop at NeurIPS, 2020 | 1 | 2020 |
| Generalization Across Space and Time in Reinforcement Learning A Lewandowski | 1 | 2020 |
| State and Reward Design: Towards Reinforcement Teaching A Lewandowski, C Muslimani, ME Taylor, J Luo Ecological Theory of RL Workshop at NeurIPS, 2021 | | 2021 |
| Batch and Sequential Policy Optimization with Doubly Robust Objectives A Lewandowski, D Schuurmans Optimization Foundations of Reinforcement Learning Workshop at NeurIPS, 2019 | | 2019 |
| Recurrent and Bayesian Kernel Learning for Small Data with Applications to Neuroimaging A Lewandowski | | 2018 |
| Disentangling Generalization in Reinforcement Learning A Lewandowski, D Schuurmans, J Luo | | |
