| A distributional framework for risk-sensitive end-to-end planning in continuous mdps N Patton, J Jeong, M Gimelfarb, S Sanner Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9894-9901, 2022 | 3 | 2022 |
| Programming-by-Demonstration for Long-Horizon Robot Tasks N Patton, K Rahmani, M Missula, J Biswas, I Dillig Proceedings of the ACM on Programming Languages 8 (POPL), 512-545, 2024 | 2 | 2024 |
| Program synthesis for robot learning from demonstrations N Patton, K Rahmani, M Missula, J Biswas, I Dillig arXiv preprint arXiv:2305.03129, 2023 | 2 | 2023 |
| RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation N Patton, J Jeong, M Gimelfarb, S Sanner arXiv preprint arXiv:2106.07260, 2021 | 1 | 2021 |
| Synapse: Learning Preferential Concepts from Visual Demonstrations S Modak, N Patton, I Dillig, J Biswas arXiv preprint arXiv:2403.16689, 2024 | | 2024 |
| End-to-End Risk-Aware Planning by Gradient Descent N Patton, J Jeong, M Gimelfarb, S Sanner | | 2021 |
