Emilio Parisotto
Emilio Parisotto
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Cited by
Cited by
Actor-mimic: Deep multitask and transfer reinforcement learning
E Parisotto, JL Ba, R Salakhutdinov
arXiv preprint arXiv:1511.06342, 2015
Generating images from captions with attention
E Mansimov, E Parisotto, JL Ba, R Salakhutdinov
arXiv preprint arXiv:1511.02793, 2015
Neuro-symbolic program synthesis
E Parisotto, A Mohamed, R Singh, L Li, D Zhou, P Kohli
arXiv preprint arXiv:1611.01855, 2016
A generalist agent
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...
arXiv preprint arXiv:2205.06175, 2022
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
Neural map: Structured memory for deep reinforcement learning
E Parisotto, R Salakhutdinov
arXiv preprint arXiv:1702.08360, 2017
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
Efficient Exploration via State Marginal Matching
L Lee, B Eysenbach, E Parisotto, E Xing, S Levine, R Salakhutdinov
arXiv preprint arXiv:1906.05274, 2019
Active Neural Localization
DS Chaplot, E Parisotto, R Salakhutdinov
arXiv preprint arXiv:1801.08214, 2018
Gated path planning networks
L Lee, E Parisotto, DS Chaplot, E Xing, R Salakhutdinov
International Conference on Machine Learning, 2947-2955, 2018
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
Shaking the foundations: delusions in sequence models for interaction and control
PA Ortega, M Kunesch, G Delétang, T Genewein, J Grau-Moya, J Veness, ...
arXiv preprint arXiv:2110.10819, 2021
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
E Parisotto, R Salakhutdinov
arXiv preprint arXiv:2104.01655, 2021
Concurrent Meta Reinforcement Learning
E Parisotto, S Ghosh, SB Yalamanchi, V Chinnaobireddy, Y Wu, ...
arXiv preprint arXiv:1903.02710, 2019
Neural network for program synthesis
ASA Mohamed, R Singh, L Li, D Zhou, P Kohli, E Parisotto
US Patent 10,795,645, 2020
In-context reinforcement learning with algorithm distillation
M Laskin, L Wang, J Oh, E Parisotto, S Spencer, R Steigerwald, ...
arXiv preprint arXiv:2210.14215, 2022
On proximal policy optimization’s heavy-tailed gradients
S Garg, J Zhanson, E Parisotto, A Prasad, Z Kolter, Z Lipton, ...
International Conference on Machine Learning, 3610-3619, 2021
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
S Bohez, S Tunyasuvunakool, P Brakel, F Sadeghi, L Hasenclever, ...
arXiv preprint arXiv:2203.17138, 2022
Structured State Space Models for In-Context Reinforcement Learning
C Lu, Y Schroecker, A Gu, E Parisotto, J Foerster, S Singh, F Behbahani
arXiv preprint arXiv:2303.03982, 2023
Neural map
R Salakhutdinov, E Parisotto
US Patent 11,521,058, 2022
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