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ORCIDDaniel Furelos-Blanco
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2020 – today
- 2024
[c10]Julian de Gortari Briseno, Roko Parac, Leo Ardon, Marc Roig Vilamala, Daniel Furelos-Blanco, Lance M. Kaplan, Vinod K. Mishra, Federico Cerutti, Alun D. Preece, Alessandra Russo, Mani Srivastava:
TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action. FUSION 2024: 1-8- [c9]Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, 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 de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre:
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. ICLR 2024 - [c8]Roko Parac, Lorenzo Nodari, Leo Ardon, Daniel Furelos-Blanco, Federico Cerutti, Alessandra Russo:
Learning Robust Reward Machines from Noisy Labels. KR 2024 - [i8]Roko Parac, Lorenzo Nodari, Leo Ardon, Daniel Furelos-Blanco, Federico Cerutti, Alessandra Russo:
Learning Robust Reward Machines from Noisy Labels. CoRR abs/2408.14871 (2024) - 2023
- [c7]Leo Ardon
, Daniel Furelos-Blanco, Alessandra Russo:
Learning Reward Machines in Cooperative Multi-agent Tasks. AAMAS Workshops 2023: 43-59 - [c6]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Hierarchies of Reward Machines. ICML 2023: 10494-10541 - [c5]Nathan Grinsztajn, Daniel Furelos-Blanco, Shikha Surana, Clément Bonnet, Tom Barrett:
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization. NeurIPS 2023 - [i7]Leo Ardon, Daniel Furelos-Blanco, Alessandra Russo:
Learning Reward Machines in Cooperative Multi-Agent Tasks. CoRR abs/2303.14061 (2023) - [i6]Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Vincent Coyette, Paul Duckworth, Laurence I. Midgley, Tristan Kalloniatis, Sasha Abramowitz, Cemlyn N. Waters, Andries P. Smit, Nathan Grinsztajn, Ulrich A. Mbou Sob, Omayma Mahjoub, Elshadai Tegegn, Mohamed A. Mimouni, Raphaël Boige, Ruan de Kock, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre:
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. CoRR abs/2306.09884 (2023) - 2022
- [i5]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Hierarchies of Reward Machines. CoRR abs/2205.15752 (2022) - [i4]Nathan Grinsztajn, Daniel Furelos-Blanco, Thomas D. Barrett:
Population-Based Reinforcement Learning for Combinatorial Optimization. CoRR abs/2210.03475 (2022) - 2021
- [j1]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. J. Artif. Intell. Res. 70: 1031-1116 (2021) - 2020
- [c4]Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson:
Induction of Subgoal Automata for Reinforcement Learning. AAAI 2020: 3890-3897 - [i3]Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo:
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. CoRR abs/2009.03855 (2020)
2010 – 2019
- 2019
- [c3]Daniel Furelos-Blanco, Anders Jonsson:
Solving Multiagent Planning Problems with Concurrent Conditional Effects. AAAI 2019: 7594-7601 - [i2]Daniel Furelos-Blanco, Anders Jonsson:
Solving Multiagent Planning Problems with Concurrent Conditional Effects. CoRR abs/1906.08157 (2019) - [i1]Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson:
Induction of Subgoal Automata for Reinforcement Learning. CoRR abs/1911.13152 (2019) - 2018
- [c2]Daniel Furelos-Blanco, Antonio Bucchiarone, Anders Jonsson:
CARPooL: Collective Adaptation using concuRrent PLanning. AAMAS 2018: 1815-1817 - [c1]Antonio Bucchiarone, Daniel Furelos-Blanco, Anders Jonsson, Fahmida Khandokar, Monjur M. Mourshed:
Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility. AAMAS 2018: 1880-1882
Coauthor Index
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