• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 50 matches

• 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): 2313-2325 (2021)
• 
  Yue Gao, Kry Yik Chau Lui, Pablo Hernandez-Leal:
  Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets. CoRR abs/2107.08083 (2021)
• 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:
  Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract). AAAI 2020: 13913-13914
• 
  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
• 
  Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
  A Very Condensed Survey and Critique of Multiagent Deep Reinforcement Learning. AAMAS 2020: 2146-2148
• 
  Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
  Work in Progress: Temporally Extended Auxiliary Tasks. CoRR abs/2004.00600 (2020)
• 
  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
• 
  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)
• 
  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
• 
  Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
  Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. AIIDE 2019: 31-37
• 
  Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
  Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. AIIDE 2019: 38-44
• 
  Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
  Action Guidance with MCTS for Deep Reinforcement Learning. AIIDE 2019: 153-159
• 
  Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers:
  An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. ICIT 2019: 595-600
• 
  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
• 
  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)
• 
  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)
• 
  Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor:
  Agent Modeling as Auxiliary Task for Deep Reinforcement Learning. CoRR abs/1907.09597 (2019)
• 
  Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
  Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning. CoRR abs/1907.10827 (2019)
• 
  Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor:
  Action Guidance with MCTS for Deep Reinforcement Learning. CoRR abs/1907.11703 (2019)
• 
  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
• 
  Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers:
  Coordinating Distributed and Flexible Resources: A Case-study of Residential Cooperatives. ISGT Europe 2018: 1-6
• 
  Arzam Muzaffar Kotriwala, Pablo Hernandez-Leal, Michael Kaisers:
  Load Classification and Forecasting for Temporary Power Installations. ISGT Europe 2018: 1-6
• 
  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)
• 
  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)
• 
  Shantanu Chakraborty, Pablo Hernandez-Leal, Michael Kaisers:
  An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives. CoRR abs/1812.04750 (2018)
• 2017
• 
  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)
• 
  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)
• 
  Pablo Hernandez-Leal, Michael Kaisers:
  Towards a Fast Detection of Opponents in Repeated Stochastic Games. AAMAS Workshops (Selected Papers) 2017: 239-257
• 
  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

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