Browsing by Author "Furelos Blanco, Daniel"

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  • Furelos Blanco, Daniel; Bucchiarone, Antonio; Jonsson, Anders, 1973- (International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2018)
    In this paper we present the CARPooL demonstrator, an implementation of a Collective Adaptation Engine (CAE) that addresses the challenge of collective adaptation in the smart mobility domain. CARPooL resolves adaptation ...
  • Bucchiarone, Antonio; Furelos Blanco, Daniel; Jonsson, Anders, 1973-; Khandokar, Fahmida; Mourshed, Monjur (International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2018)
    In this paper we address the challenges that impede collective adaptation in smart mobility systems by proposing a notion of ensembles. Ensembles enable systems with collective adaptability to be built as emergent aggregations ...
  • Furelos Blanco, Daniel; Jonsson, Anders, 1973-; Palacios Verdes, Héctor Luis; Jiménez, Sergio (Association for the Advancement of Artificial Intelligence (AAAI) - Congrés ICAPS17, 2018)
    In this paper we describe STP, a novel algorithm for temporal planning. Similar to several existing temporal planners, STP relies on a transformation from temporal planning to classical planning, and constructs a temporal ...
  • Furelos Blanco, Daniel; Law, Mark; Jonsson, Anders, 1973-; Broda, Krysia; Russo, Alessandra (AI Access Foundation, 2021)
    In this paper we present ISA, an approach for learning and exploiting subgoals in episodic reinforcement learning (RL) tasks. ISA interleaves reinforcement learning with the induction of a subgoal automaton, an automaton ...
  • Furelos Blanco, Daniel (2015-12-21)
    This thesis describes the design of agents that learn to play Atari games using the Arcade Learning Environment (ALE) framework to interact with them. The application of machine learning in video games, given its high ...
  • Furelos Blanco, Daniel (2017-09)
    In this work, we present new approaches for solving multiagent planning and temporal planning problems. These planning forms are two types of concurrent planning, where actions occur in parallel. The methods we propose ...
  • Furelos Blanco, Daniel; Jonsson, Anders, 1973- (Association for the Advancement of Artificial Intelligence (AAAI) - Congrés ICAPS17, 2018)
    In this work we present a novel approach to solving concurrent multiagent planning problems in which several agents act in parallel. Our approach relies on a compilation from concurrent multiagent planning to classical ...
  • Furelos Blanco, Daniel; Jonsson, Anders, 1973- (Association for the Advancement of Artificial Intelligence (AAAI), 2019)
    In this work we present a novel approach to solving concurrent multiagent planning problems in which several agents act in parallel. Our approach relies on a compilation from concurrent multiagent planning to classical ...

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