Pablo Hernandez-Leal

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 35

Top Topics

Exploration Strategy

Reinforcement Learning

Bayesian Networks

Instance Selection

Top Venues

Auton. Agents Multi Agent Syst.

Publications

Yue Gao, Kry Yik Chau Lui, Pablo Hernandez-Leal
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets. CoRR (2021)
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) (2021)
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning. AAMAS (2020)
Jonathan Serrano Cuevas, Eduardo F. Morales, Pablo Hernandez-Leal
Safe reinforcement learning using risk mapping by similarity. Adapt. Behav. 28 (4) (2020)
Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. AAAI (2020)
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)
Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang
CDT: Cascading Decision Trees for Explainable Reinforcement Learning. CoRR (2020)
Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Work in Progress: Temporally Extended Auxiliary Tasks. CoRR (2020)
Chao Gao, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition. CoRR (2019)
Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. CoRR (2019)
Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
On Hard Exploration for Reinforcement Learning: A Case Study in Pommerman. AIIDE (2019)
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. AIIDE (2019)
Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. ICIT (2019)
Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman. CoRR (2019)
Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Action Guidance with MCTS for Deep Reinforcement Learning. CoRR (2019)
Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. AIIDE (2019)
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)
Bilal Kartal, Pablo Hernandez-Leal, Chao Gao, Matthew E. Taylor
Safer Deep RL with Shallow MCTS: A Case Study in Pommerman. CoRR (2019)
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. CoRR (2019)
Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Action Guidance with MCTS for Deep Reinforcement Learning. AIIDE (2019)
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
A survey and critique of multiagent deep reinforcement learning. Auton. Agents Multi Agent Syst. 33 (6) (2019)
Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. CoRR (2018)
Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
Coordinating Distributed and Flexible Resources: A Case-study of Residential Cooperatives. ISGT Europe (2018)
Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL. CoRR (2018)
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
Is multiagent deep reinforcement learning the answer or the question? A brief survey. CoRR (2018)
Arzam Muzaffar Kotriwala, Pablo Hernandez-Leal, Michael Kaisers
Load Classification and Forecasting for Temporary Power Installations. ISGT Europe (2018)
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) (2017)
Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
An Exploration Strategy Facing Non-Stationary Agents. AAMAS (2017)
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) (2017)
Pablo Hernandez-Leal, Michael Kaisers
Towards a Fast Detection of Opponents in Repeated Stochastic Games. AAMAS Workshops (Selected Papers) (2017)
Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag, Enrique Munoz de Cote
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity. CoRR (2017)
Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
Detecting Switches Against Non-Stationary Opponents. AAMAS (2017)
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)
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)
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 (2016)
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)
Pablo Hernandez-Leal, Matthew E. Taylor, Enrique Munoz de Cote, Luis Enrique Sucar
Bidding in Non-Stationary Energy Markets. AAMAS (2015)
Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
Opponent Modeling against Non-stationary Strategies: (Doctoral Consortium). AAMAS (2015)
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 (2014)
Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
Using a Priori Information for Fast Learning Against Non-stationary Opponents. IBERAMIA (2014)
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) (2014)
Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
Strategic Interactions Among Agents with Bounded Rationality. IJCAI (2013)
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) (2013)
Pablo Hernandez-Leal, Jesus A. Gonzalez, Eduardo F. Morales, Luis Enrique Sucar
Learning temporal nodes Bayesian networks. Int. J. Approx. Reason. 54 (8) (2013)
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) (2013)
Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
Modeling non-stationary opponents. AAMAS (2013)
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)
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)
Pablo Hernandez-Leal, Luis Enrique Sucar, Jesus A. Gonzalez
Learning Temporal Nodes Bayesian Networks. FLAIRS Conference (2011)