Pablo Hernandez-Leal

49 papers A* 3A 7Misc 2Journal 24Unranked 13

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets. CoRR Yue Gao, Kry Yik Chau Lui, Pablo Hernandez-Leal
2021	J	`jnl`	Unobtrusive Stress Assessment Using Smartphones. IEEE Trans. Mob. Comput. Alban Maxhuni, Pablo Hernandez-Leal, Eduardo F. Morales, Luis Enrique Sucar, Venet Osmani, Oscar Mayora
2020	A	`conf`	A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning. AAMAS Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2020	J	`jnl`	CDT: Cascading Decision Trees for Explainable Reinforcement Learning. CoRR Zihan Ding, Pablo Hernandez-Leal, Gavin Weiguang Ding, Changjian Li, Ruitong Huang
2020	A*	`conf`	Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract). AAAI Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2020	J	`jnl`	Safe reinforcement learning using risk mapping by similarity. Adapt. Behav. Jonathan Serrano Cuevas, Eduardo F. Morales, Pablo Hernandez-Leal
2020	A*	`conf`	Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. AAAI Felipe Leno da Silva, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2020	J	`jnl`	Work in Progress: Temporally Extended Auxiliary Tasks. CoRR Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	J	`jnl`	A survey and critique of multiagent deep reinforcement learning. Auton. Agents Multi Agent Syst. Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2019	—	`conf`	Action Guidance with MCTS for Deep Reinforcement Learning. AIIDE Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	J	`jnl`	Action Guidance with MCTS for Deep Reinforcement Learning. CoRR Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	—	`conf`	Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. AIIDE Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2019	J	`jnl`	Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. CoRR Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2019	—	`conf`	An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. ICIT Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
2019	—	`conf`	On Hard Exploration for Reinforcement Learning: A Case Study in Pommerman. AIIDE Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	J	`jnl`	On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman. CoRR Chao Gao, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	J	`jnl`	Safer Deep RL with Shallow MCTS: A Case Study in Pommerman. CoRR Bilal Kartal, Pablo Hernandez-Leal, Chao Gao, Matthew E. Taylor
2019	J	`jnl`	Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition. CoRR Chao Gao, Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2019	—	`conf`	Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. AIIDE Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	J	`jnl`	Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. CoRR Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2019	Misc	`conf`	Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments. ISS Nathan Douglas, Dianna Yim, Bilal Kartal, Pablo Hernandez-Leal, Frank Maurer, Matthew E. Taylor
2018	J	`jnl`	An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. CoRR Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
2018	—	`conf`	Coordinating Distributed and Flexible Resources: A Case-study of Residential Cooperatives. ISGT Europe Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers
2018	J	`jnl`	Is multiagent deep reinforcement learning the answer or the question? A brief survey. CoRR Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor
2018	—	`conf`	Load Classification and Forecasting for Temporary Power Installations. ISGT Europe Arzam Muzaffar Kotriwala, Pablo Hernandez-Leal, Michael Kaisers
2018	J	`jnl`	Using Monte Carlo Tree Search as a Demonstrator within Asynchronous Deep RL. CoRR Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
2017	J	`jnl`	A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity. CoRR Pablo Hernandez-Leal, Michael Kaisers, Tim Baarslag, Enrique Munoz de Cote
2017	A	`conf`	An Exploration Strategy Facing Non-Stationary Agents. AAMAS Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
2017	J	`jnl`	An exploration strategy for non-stationary opponents. Auton. Agents Multi Agent Syst. Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
2017	A	`conf`	Detecting Switches Against Non-Stationary Opponents. AAMAS Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
2017	J	`jnl`	Efficiently detecting switches against non-stationary opponents. Auton. Agents Multi Agent Syst. Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
2017	—	`conf`	Towards a Fast Detection of Opponents in Repeated Stochastic Games. AAMAS Workshops (Selected Papers) Pablo Hernandez-Leal, Michael Kaisers
2016	A	`conf`	A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). AAMAS Pablo Hernandez-Leal, Benjamin Rosman, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
2016	—	`conf`	Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach. AAAI Workshop: Multiagent Interaction without Prior Coordination Pablo Hernandez-Leal, Matthew E. Taylor, Benjamin Rosman, Luis Enrique Sucar, Enrique Munoz de Cote
2016	J	`jnl`	Stress modelling and prediction in presence of scarce data. J. Biomed. Informatics Alban Maxhuni, Pablo Hernandez-Leal, Luis Enrique Sucar, Venet Osmani, Eduardo F. Morales, Oscar Mayora
2015	A	`conf`	Bidding in Non-Stationary Energy Markets. AAMAS Pablo Hernandez-Leal, Matthew E. Taylor, Enrique Munoz de Cote, Luis Enrique Sucar
2015	A	`conf`	Opponent Modeling against Non-stationary Strategies: (Doctoral Consortium). AAMAS Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
2015	—	`conf`	Stress Modelling Using Transfer Learning in Presence of Scarce Data. AmIHEALTH Pablo Hernandez-Leal, Alban Maxhuni, Luis Enrique Sucar, Venet Osmani, Eduardo F. Morales, Oscar Mayora
2014	J	`jnl`	A framework for learning and planning against switching strategies in repeated games. Connect. Sci. Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
2014	J	`jnl`	Multi-label classification with Bayesian network-based chain classifiers. Pattern Recognit. Lett. Luis Enrique Sucar, Concha Bielza, Eduardo F. Morales, Pablo Hernandez-Leal, Julio H. Zaragoza, Pedro Larrañaga
2014	—	`conf`	Using a Priori Information for Fast Learning Against Non-stationary Opponents. IBERAMIA Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
2013	J	`jnl`	Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks. Artif. Intell. Medicine 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
2013	J	`jnl`	InstanceRank based on borders for instance selection. Pattern Recognit. Pablo Hernandez-Leal, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez Trinidad, José Arturo Olvera-López
2013	J	`jnl`	Learning temporal nodes Bayesian networks. Int. J. Approx. Reason. Pablo Hernandez-Leal, Jesus A. Gonzalez, Eduardo F. Morales, Luis Enrique Sucar
2013	A	`conf`	Modeling non-stationary opponents. AAMAS Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
2013	A*	`conf`	Strategic Interactions Among Agents with Bounded Rationality. IJCAI Pablo Hernandez-Leal, Enrique Munoz de Cote, Luis Enrique Sucar
2012	—	`conf`	Contrasting Temporal Bayesian Network Models for Analyzing HIV Mutations. BMA Pablo Hernandez-Leal, Lindsey Jennifer Fiedler-Cameras, Alma Rios-Flores, Jesus A. Gonzalez, Luis Enrique Sucar
2011	—	`conf`	Learning Temporal Bayesian Networks for Power Plant Diagnosis. IEA/AIE (1) Pablo Hernandez-Leal, Luis Enrique Sucar, Jesus A. Gonzalez, Eduardo F. Morales, Pablo H. Ibargüengoytia
2011	Misc	`conf`	Learning Temporal Nodes Bayesian Networks. FLAIRS Pablo Hernandez-Leal, Luis Enrique Sucar, Jesus A. Gonzalez