Rati Devidze
Titolo
Citata da
Citata da
Anno
Interactive teaching algorithms for inverse reinforcement learning
P Kamalaruban, R Devidze, V Cevher, A Singla
arXiv preprint arXiv:1905.11867, 2019
282019
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
182019
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
122020
Learning to collaborate in markov decision processes
G Radanovic, R Devidze, D Parkes, A Singla
International Conference on Machine Learning, 5261-5270, 2019
122019
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
32020
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
22020
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
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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