| Actor-mimic: Deep multitask and transfer reinforcement learning E Parisotto, JL Ba, R Salakhutdinov arXiv preprint arXiv:1511.06342, 2015 | 374 | 2015 |
| Generating images from captions with attention E Mansimov, E Parisotto, JL Ba, R Salakhutdinov arXiv preprint arXiv:1511.02793, 2015 | 280 | 2015 |
| Neuro-symbolic program synthesis E Parisotto, A Mohamed, R Singh, L Li, D Zhou, P Kohli arXiv preprint arXiv:1611.01855, 2016 | 216 | 2016 |
| Neural map: Structured memory for deep reinforcement learning E Parisotto, R Salakhutdinov arXiv preprint arXiv:1702.08360, 2017 | 177 | 2017 |
| The hanabi challenge: A new frontier for ai research N Bard, JN Foerster, S Chandar, N Burch, M Lanctot, HF Song, E Parisotto, ... Artificial Intelligence 280, 103216, 2020 | 104 | 2020 |
| Active Neural Localization DS Chaplot, E Parisotto, R Salakhutdinov arXiv preprint arXiv:1801.08214, 2018 | 63 | 2018 |
| Efficient Exploration via State Marginal Matching L Lee, B Eysenbach, E Parisotto, E Xing, S Levine, R Salakhutdinov arXiv preprint arXiv:1906.05274, 2019 | 60 | 2019 |
| Global pose estimation with an attention-based recurrent network E Parisotto, D Singh Chaplot, J Zhang, R Salakhutdinov Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 53 | 2018 |
| Stabilizing transformers for reinforcement learning E Parisotto, F Song, J Rae, R Pascanu, C Gulcehre, S Jayakumar, ... International Conference on Machine Learning, 7487-7498, 2020 | 48 | 2020 |
| Gated path planning networks L Lee, E Parisotto, DS Chaplot, E Xing, R Salakhutdinov International Conference on Machine Learning, 2947-2955, 2018 | 43* | 2018 |
| Concurrent Meta Reinforcement Learning E Parisotto, S Ghosh, SB Yalamanchi, V Chinnaobireddy, Y Wu, ... arXiv preprint arXiv:1903.02710, 2019 | 11* | 2019 |
| Neural network for program synthesis ASA Mohamed, R Singh, L Li, D Zhou, P Kohli, E Parisotto US Patent 10,795,645, 2020 | 7 | 2020 |
| Input-output example encoding ASA Mohamed, P Kohli, R Singh, E Parisotto US Patent 10,817,552, 2020 | 6 | 2020 |
| Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation E Parisotto, R Salakhutdinov arXiv preprint arXiv:2104.01655, 2021 | 1 | 2021 |
| On Proximal Policy Optimization's Heavy-tailed Gradients S Garg, J Zhanson, E Parisotto, A Prasad, JZ Kolter, S Balakrishnan, ... arXiv preprint arXiv:2102.10264, 2021 | | 2021 |
| Method and device for improved localization and mapping E Parisotto, J Zhang, R Salakhutdinov, DS Chaplot US Patent App. 16/990,510, 2020 | | 2020 |
| Method and device for improved localization and mapping E Parisotto, J Zhang, R Salakhutdinov, DS Chaplot US Patent 10,776,948, 2020 | | 2020 |
| Active Neural Localization D Singh Chaplot, E Parisotto, R Salakhutdinov arXiv e-prints, arXiv: 1801.08214, 2018 | | 2018 |
| PROPRIOCEPTIVE SPATIAL REPRESENTATIONS FOR GENERALIZED LOCOMOTION J Zhanson, E Parisotto, R Salakhutdinov | | |
| STATE MARGINAL MATCHING WITH MIXTURES OF POLICIES L Lee, B Eysenbach, E Parisotto, R Salakhutdinov, S Levine | | |
