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Journal Articles
- 2021
[j11]Alban Maxhuni, Pablo Hernandez-Leal, Eduardo F. Morales
, Luis Enrique Sucar, Venet Osmani, Oscar Mayora:
Unobtrusive Stress Assessment Using Smartphones. IEEE Trans. Mob. Comput. 20(6): 2313-2325 (2021)- 2020
- [j10]Jonathan Serrano Cuevas, Eduardo F. Morales, Pablo Hernandez-Leal:
Safe reinforcement learning using risk mapping by similarity. Adapt. Behav. 28(4) (2020) - 2019
- [j9]Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
A survey and critique of multiagent deep reinforcement learning. Auton. Agents Multi Agent Syst. 33(6): 750-797 (2019) - 2017
- [j8]Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote:
Efficiently detecting switches against non-stationary opponents. Auton. Agents Multi Agent Syst. 31(4): 767-789 (2017) - [j7]Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote:
An exploration strategy for non-stationary opponents. Auton. Agents Multi Agent Syst. 31(5): 971-1002 (2017) - 2016
- [j6]Alban Maxhuni, Pablo Hernandez-Leal, Luis Enrique Sucar, Venet Osmani, Eduardo F. Morales, Oscar Mayora:
Stress modelling and prediction in presence of scarce data. J. Biomed. Informatics 63: 344-356 (2016) - 2014
- [j5]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
A framework for learning and planning against switching strategies in repeated games. Connect. Sci. 26(2): 103-122 (2014) - [j4]Luis Enrique Sucar, Concha Bielza, Eduardo F. Morales, Pablo Hernandez-Leal, Julio H. Zaragoza, Pedro Larrañaga:
Multi-label classification with Bayesian network-based chain classifiers. Pattern Recognit. Lett. 41: 14-22 (2014) - 2013
- [j3]Pablo Hernandez-Leal, Alma Rios-Flores, Santiago Ávila-Rios, Gustavo Reyes-Terán, Jesus A. Gonzalez, Lindsey Jennifer Fiedler-Cameras, Felipe Orihuela-Espina, Eduardo F. Morales, Luis Enrique Sucar:
Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks. Artif. Intell. Medicine 57(3): 185-195 (2013) - [j2]Pablo Hernandez-Leal, Jesus A. Gonzalez, Eduardo F. Morales, Luis Enrique Sucar:
Learning temporal nodes Bayesian networks. Int. J. Approx. Reason. 54(8): 956-977 (2013) - [j1]Pablo Hernandez-Leal, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, José Arturo Olvera-López:
InstanceRank based on borders for instance selection. Pattern Recognit. 46(1): 365-375 (2013)
Conference and Workshop Papers
- 2020
- [c25]Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. AAAI 2020: 5792-5799 - [c24]Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract). AAAI 2020: 13913-13914 - [c23]Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning. AAMAS 2020: 2146-2148 - 2019
- [c22]Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
On Hard Exploration for Reinforcement Learning: A Case Study in Pommerman. AIIDE 2019: 24-30 - [c21]Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. AIIDE 2019: 31-37 - [c20]Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. AIIDE 2019: 38-44 - [c19]Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Action Guidance with MCTS for Deep Reinforcement Learning. AIIDE 2019: 153-159 - [c18]Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers:
An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. ICIT 2019: 595-600 - [c17]Nathan Douglas, Dianna Yim, Bilal Kartal, Pablo Hernandez-Leal, Frank Maurer, Matthew E. Taylor:
Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments. ISS 2019: 339-342 - 2018
- [c16]Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers:
Coordinating Distributed and Flexible Resources: A Case-study of Residential Cooperatives. ISGT Europe 2018: 1-6 - [c15]Arzam Muzaffar Kotriwala, Pablo Hernandez-Leal, Michael Kaisers:
Load Classification and Forecasting for Temporary Power Installations. ISGT Europe 2018: 1-6 - 2017
- [c14]Pablo Hernandez-Leal, Michael Kaisers:
Towards a Fast Detection of Opponents in Repeated Stochastic Games. AAMAS Workshops (Selected Papers) 2017: 239-257 - [c13]Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote:
Detecting Switches Against Non-Stationary Opponents. AAMAS 2017: 920-921 - [c12]Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote:
An Exploration Strategy Facing Non-Stationary Agents. AAMAS 2017: 922-923 - 2016
- [c11]Pablo Hernandez-Leal, Matthew E. Taylor, Benjamin Rosman, Luis Enrique Sucar, Enrique Munoz de Cote:
Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach. AAAI Workshop: Multiagent Interaction without Prior Coordination 2016 - [c10]Pablo Hernandez-Leal, Benjamin Rosman, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote:
A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). AAMAS 2016: 1315-1316 - 2015
- [c9]Pablo Hernandez-Leal, Alban Maxhuni, Luis Enrique Sucar, Venet Osmani, Eduardo F. Morales, Oscar Mayora:
Stress Modelling Using Transfer Learning in Presence of Scarce Data. AmIHEALTH 2015: 224-236 - [c8]Pablo Hernandez-Leal, Matthew E. Taylor, Enrique Munoz de Cote, Luis Enrique Sucar:
Bidding in Non-Stationary Energy Markets. AAMAS 2015: 1709-1710 - [c7]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
Opponent Modeling against Non-stationary Strategies: (Doctoral Consortium). AAMAS 2015: 1989-1990 - 2014
- [c6]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
Using a Priori Information for Fast Learning Against Non-stationary Opponents. IBERAMIA 2014: 536-547 - 2013
- [c5]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
Modeling non-stationary opponents. AAMAS 2013: 1135-1136 - [c4]Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar:
Strategic Interactions Among Agents with Bounded Rationality. IJCAI 2013: 3219-3220 - 2012
- [c3]Pablo Hernandez-Leal, Lindsey Jennifer Fiedler-Cameras, Alma Rios-Flores, Jesus A. Gonzalez, Luis Enrique Sucar:
Contrasting Temporal Bayesian Network Models for Analyzing HIV Mutations. BMA 2012: 26-33 - 2011
- [c2]Pablo Hernandez-Leal, Luis Enrique Sucar, Jesus A. Gonzalez:
Learning Temporal Nodes Bayesian Networks. FLAIRS 2011 - [c1]Pablo Hernandez-Leal, Luis Enrique Sucar, Jesus A. Gonzalez, Eduardo F. Morales, Pablo H. Ibargüengoytia:
Learning Temporal Bayesian Networks for Power Plant Diagnosis. IEA/AIE (1) 2011: 39-48
Informal and Other Publications
- 2021
- [i13]Yue Gao, Kry Yik Chau Lui, Pablo Hernandez-Leal:
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets. CoRR abs/2107.08083 (2021) - 2020
- [i12]Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Work in Progress: Temporally Extended Auxiliary Tasks. CoRR abs/2004.00600 (2020) - [i11]Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang:
CDT: Cascading Decision Trees for Explainable Reinforcement Learning. CoRR abs/2011.07553 (2020) - 2019
- [i10]Bilal Kartal, Pablo Hernandez-Leal, Chao Gao, Matthew E. Taylor:
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman. CoRR abs/1904.05759 (2019) - [i9]Chao Gao, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition. CoRR abs/1905.01360 (2019) - [i8]Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. CoRR abs/1907.09597 (2019) - [i7]Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. CoRR abs/1907.10827 (2019) - [i6]Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Action Guidance with MCTS for Deep Reinforcement Learning. CoRR abs/1907.11703 (2019) - [i5]Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman. CoRR abs/1907.11788 (2019) - 2018
- [i4]Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
Is multiagent deep reinforcement learning the answer or the question? A brief survey. CoRR abs/1810.05587 (2018) - [i3]Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL. CoRR abs/1812.00045 (2018) - [i2]Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers:
An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. CoRR abs/1812.04750 (2018) - 2017
- [i1]Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag, Enrique Munoz de Cote:
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity. CoRR abs/1707.09183 (2017)
Coauthor Index
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