Emilio Parisotto
Emilio Parisotto
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Actor-mimic: Deep multitask and transfer reinforcement learning
E Parisotto, JL Ba, R Salakhutdinov
arXiv preprint arXiv:1511.06342, 2015
3742015
Generating images from captions with attention
E Mansimov, E Parisotto, JL Ba, R Salakhutdinov
arXiv preprint arXiv:1511.02793, 2015
2802015
Neuro-symbolic program synthesis
E Parisotto, A Mohamed, R Singh, L Li, D Zhou, P Kohli
arXiv preprint arXiv:1611.01855, 2016
2162016
Neural map: Structured memory for deep reinforcement learning
E Parisotto, R Salakhutdinov
arXiv preprint arXiv:1702.08360, 2017
1772017
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
1052020
Active Neural Localization
DS Chaplot, E Parisotto, R Salakhutdinov
arXiv preprint arXiv:1801.08214, 2018
632018
Efficient Exploration via State Marginal Matching
L Lee, B Eysenbach, E Parisotto, E Xing, S Levine, R Salakhutdinov
arXiv preprint arXiv:1906.05274, 2019
602019
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
532018
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
482020
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
72020
Input-output example encoding
ASA Mohamed, P Kohli, R Singh, E Parisotto
US Patent 10,817,552, 2020
62020
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
E Parisotto, R Salakhutdinov
arXiv preprint arXiv:2104.01655, 2021
12021
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
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