| 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 | 142 | 2020 |
| Interactive teaching algorithms for inverse reinforcement learning P Kamalaruban, R Devidze, V Cevher, A Singla arXiv preprint arXiv:1905.11867, 2019 | 74 | 2019 |
| Explicable reward design for reinforcement learning agents R Devidze, G Radanovic, P Kamalaruban, A Singla Advances in neural information processing systems 34, 20118-20131, 2021 | 54 | 2021 |
| Learner-aware teaching: Inverse reinforcement learning with preferences and constraints S Tschiatschek, A Ghosh, L Haug, R Devidze, A Singla Advances in neural information processing systems 32, 2019 | 48 | 2019 |
| Learning to collaborate in markov decision processes G Radanovic, R Devidze, D Parkes, A Singla International Conference on Machine Learning, 5261-5270, 2019 | 41 | 2019 |
| Exploration-guided reward shaping for reinforcement learning under sparse rewards R Devidze, P Kamalaruban, A Singla Advances in Neural Information Processing Systems 35, 5829-5842, 2022 | 37 | 2022 |
| Policy teaching in reinforcement learning via environment poisoning attacks A Rakhsha, G Radanovic, R Devidze, X Zhu, A Singla Journal of Machine Learning Research 22 (210), 1-45, 2021 | 28 | 2021 |
| 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 | 15 | 2020 |
| Curriculum design for teaching via demonstrations: theory and applications G Yengera, R Devidze, P Kamalaruban, A Singla Advances in Neural Information Processing Systems 34, 10496-10509, 2021 | 11 | 2021 |
| Environment Shaping in Reinforcement Learning using State Abstraction P Kamalaruban, R Devidze, V Cevher, A Singla arXiv preprint arXiv:2006.13160, 2020 | 6 | 2020 |
| Potential-based reward shaping for learning to play text-based adventure games W Li, R Devidze, S Fellenz arXiv preprint arXiv:2302.10720, 2023 | 2 | 2023 |
| Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games W Li, R Devidze, W Mustafa, S Fellenz International Conference on Artificial Intelligence and Statistics, 1954-1962, 2024 | 1 | 2024 |
| Informativeness of Reward Functions in Reinforcement Learning R Devidze, P Kamalaruban, A Singla arXiv preprint arXiv:2402.07019, 2024 | 1 | 2024 |
| Learning to play text-based adventure games with maximum entropy reinforcement learning W Li, R Devidze, S Fellenz Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 1 | 2023 |
