Interactive teaching algorithms for inverse reinforcement learning P Kamalaruban, R Devidze, V Cevher, A Singla arXiv preprint arXiv:1905.11867, 2019 | 28 | 2019 |
Learner-aware teaching: Inverse reinforcement learning with preferences and constraints S Tschiatschek, A Ghosh, L Haug, R Devidze, A Singla arXiv preprint arXiv:1906.00429, 2019 | 18 | 2019 |
Policy teaching via environment poisoning: Training-time adversarial attacks against reinforcement learning A Rakhsha, G Radanovic, R Devidze, X Zhu, A Singla International Conference on Machine Learning, 7974-7984, 2020 | 12 | 2020 |
Learning to collaborate in markov decision processes G Radanovic, R Devidze, D Parkes, A Singla International Conference on Machine Learning, 5261-5270, 2019 | 12 | 2019 |
Understanding the power and limitations of teaching with imperfect knowledge R Devidze, F Mansouri, L Haug, Y Chen, A Singla arXiv preprint arXiv:2003.09712, 2020 | 3 | 2020 |
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks A Rakhsha, G Radanovic, R Devidze, X Zhu, A Singla arXiv preprint arXiv:2011.10824, 2020 | 2 | 2020 |
Environment Shaping in Reinforcement Learning using State Abstraction P Kamalaruban, R Devidze, V Cevher, A Singla arXiv preprint arXiv:2006.13160, 2020 | | 2020 |
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints S Tschiatschek, A Gosh, L Haug, R Devidze, A Singla Advances in Neural Information Processing Systems 32 6, 4122-4132, 2020 | | 2020 |