Pablo Hernandez-Leal
Pablo Hernandez-Leal
Borealis AI
Verified email at borealisai.com - Homepage
TitleCited byYear
Multi-label classification with Bayesian network-based chain classifiers
LE Sucar, C Bielza, EF Morales, P Hernandez-Leal, JH Zaragoza, ...
Pattern Recognition Letters 41, 14-22, 2014
882014
A survey of learning in multiagent environments: Dealing with non-stationarity
P Hernandez-Leal, M Kaisers, T Baarslag, EM de Cote
arXiv preprint arXiv:1707.09183, 2017
442017
Local energy markets: Paving the path towards fully transactive energy systems
F Lezama, J Soares, P Hernandez-Leal, M Kaisers, T Pinto, Z Vale
IEEE Transactions on Power Systems, 2018
272018
Is multiagent deep reinforcement learning the answer or the question? A brief survey
P Hernandez-Leal, B Kartal, ME Taylor
arXiv preprint arXiv:1810.05587, 2018
202018
Learning temporal nodes Bayesian networks
P Hernandez-Leal, JA Gonzalez, EF Morales, LE Sucar
International Journal of Approximate Reasoning 54 (8), 956-977, 2013
202013
Identifying and tracking switching, non-stationary opponents: A Bayesian approach
P Hernandez-Leal, ME Taylor, B Rosman, LE Sucar, EM De Cote
Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016
192016
Stress modelling and prediction in presence of scarce data
A Maxhuni, P Hernandez-Leal, LE Sucar, V Osmani, EF Morales, ...
Journal of biomedical informatics 63, 344-356, 2016
182016
InstanceRank based on borders for instance selection
P Hernandez-Leal, JA Carrasco-Ochoa, JF Martínez-Trinidad, ...
Pattern Recognition 46 (1), 365-375, 2013
162013
Efficiently detecting switches against non-stationary opponents
P Hernandez-Leal, Y Zhan, ME Taylor, LE Sucar, EM de Cote
Autonomous Agents and Multi-Agent Systems 31 (4), 767-789, 2017
142017
Towards a fast detection of opponents in repeated stochastic games
P Hernandez-Leal, M Kaisers
International Conference on Autonomous Agents and Multiagent Systems, 239-257, 2017
142017
A framework for learning and planning against switching strategies in repeated games
P Hernandez-Leal, E Munoz de Cote, LE Sucar
Connection Science 26 (2), 103-122, 2014
132014
Learning against sequential opponents in repeated stochastic games
P Hernandez-Leal, M Kaisers
The 3rd Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2017
112017
Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks
P Hernandez-Leal, A Rios-Flores, S Ávila-Rios, G Reyes-Terán, ...
Artificial intelligence in medicine 57 (3), 185-195, 2013
92013
An exploration strategy for non-stationary opponents
P Hernandez-Leal, Y Zhan, ME Taylor, LE Sucar, EM de Cote
Autonomous Agents and Multi-Agent Systems 31 (5), 971-1002, 2017
82017
Using intermediate models and knowledge learning to improve stress prediction
A Maxhuni, P Hernandez-Leal, EF Morales, LE Sucar, V Osmani, ...
Applications for Future Internet, 140-151, 2017
82017
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL
B Kartal, P Hernandez-Leal, ME Taylor
arXiv preprint arXiv:1812.00045, 2018
72018
A Bayesian approach for learning and tracking switching, non-stationary opponents
P Hernandez-Leal, B Rosman, ME Taylor, LE Sucar, E Munoz de Cote
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
72016
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition
C Gao, P Hernandez-Leal, B Kartal, ME Taylor
arXiv preprint arXiv:1905.01360, 2019
62019
Agent modeling as auxiliary task for deep reinforcement learning
P Hernandez-Leal, B Kartal, ME Taylor
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2019
52019
Towards a generic ontology for video surveillance
P Hernandez-Leal, HJ Escalante, LE Sucar
Applications for future internet, 3-7, 2017
52017
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