Publications

Journal Publications

2021

  1. JAIR
    Induction and Exploitation of Subgoal Automata for Reinforcement Learning
    Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, and Alessandra Russo
    Journal of Artificial Intelligence Research (JAIR), 2021

Conference Publications

2024

  1. ICLR
    Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
    Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Paul Duckworth, Vincent Coyette, Laurence I. Midgley, Sasha Abramowitz, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries P. Smit, Nathan Grinsztajn, Raphaël Boige, Cemlyn N. Waters, Mohamed A. Mimouni, Ulrich A. Mbou Sob, Ruan John de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, and Alexandre Laterre
    International Conference on Learning Representations (ICLR), 2024

2023

  1. ICML
    Hierarchies of Reward Machines
    Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Alessandra Russo, and Krysia Broda
    International Conference on Machine Learning (ICML), 2023
  2. NeurIPS
    Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
    Nathan Grinsztajn, Daniel Furelos-Blanco, Shikha Surana, Clément Bonnet, and Thomas D. Barrett
    Neural Information Processing Systems (NeurIPS), 2023

2020

  1. AAAI
    Induction of Subgoal Automata for Reinforcement Learning
    Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, and Anders Jonsson
    AAAI Conference on Artificial Intelligence (AAAI), 2020

2019

  1. AAAI
    Solving Multiagent Planning Problems with Concurrent Conditional Effects
    Daniel Furelos-Blanco, and Anders Jonsson
    AAAI Conference on Artificial Intelligence (AAAI), 2019

Theses

2023

  1. Ph.D.
    Learning and Exploiting Reward Machines for Reinforcement Learning
    Daniel Furelos-Blanco
    Imperial College London, 2023

2017

  1. M.Sc.
    Resolution of Concurrent Planning Problems Using Classical Planning
    Daniel Furelos-Blanco
    Universitat Pompeu Fabra, 2017

2015

  1. B.Sc.
    Learning and Generalization in Atari Games
    Daniel Furelos-Blanco
    Universitat Pompeu Fabra, 2015

Workshop, Extended Abstract and Demo Publications

2023

  1. AAMAS-NeSyMAS
    Learning Reward Machines in Cooperative Multi-Agent Tasks
    Leo Ardon, Daniel Furelos-Blanco, and Alessandra Russo
    Neuro-Symbolic AI for Agent and Multi-Agent Systems (NeSyMAS) Workshop at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023

2022

  1. RLDM
    Hierarchies of Reward Machines
    Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Alessandra Russo, and Krysia Broda
    Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), 2022

2018

  1. AAMAS
    Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility
    Antonio Bucchiarone, Daniel Furelos-Blanco, Anders Jonsson, Fahmida Khandokar, and Monjur M. Mourshed
    International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2018
  2. AAMAS
    CARPooL: Collective Adaptation using concuRrent PLanning
    Daniel Furelos-Blanco, Antonio Bucchiarone, and Anders Jonsson
    International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2018
  3. ICAPS-COPLAS
    Forward-Search Temporal Planning with Simultaneous Events
    Daniel Furelos-Blanco, Anders Jonsson, Héctor Palacios, and Sergio Jiménez
    Constraint Satisfaction Techniques for Planning and Scheduling (COPLAS) Workshop at the International Conference on Automated Planning and Scheduling (ICAPS), 2018
  4. ICAPS-DMAP
    Solving Concurrent Multiagent Planning using Classical Planning
    Daniel Furelos-Blanco, and Anders Jonsson
    Distributed and Multi-Agent Planning (DMAP) Workshop at the International Conference on Automated Planning and Scheduling (ICAPS), 2018
  5. ICAPS-IPC
    CP4TP: A Classical Planning for Temporal Planning Portfolio
    Daniel Furelos-Blanco, and Anders Jonsson
    Temporal Track of the International Planning Competition (IPC), 2018