Daniel Furelos-Blanco

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Combinatorial Optimization

Reinforcement Learning

Concept Formation

Top Venues

AAMAS Workshops

Publications

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)
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
Hierarchies of Reward Machines. ICML (2023)
Leo Ardon, Daniel Furelos-Blanco, Alessandra Russo
Learning Reward Machines in Cooperative Multi-agent Tasks. AAMAS Workshops (2023)
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 (2023)
Leo Ardon, Daniel Furelos-Blanco, Alessandra Russo
Learning Reward Machines in Cooperative Multi-Agent Tasks. CoRR (2023)
Nathan Grinsztajn, Daniel Furelos-Blanco, Shikha Surana, Clément Bonnet, Tom Barrett
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization. NeurIPS (2023)
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
Hierarchies of Reward Machines. CoRR (2022)
Nathan Grinsztajn, Daniel Furelos-Blanco, Thomas D. Barrett
Population-Based Reinforcement Learning for Combinatorial Optimization. CoRR (2022)
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 (2021)
Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo
Induction and Exploitation of Subgoal Automata for Reinforcement Learning. CoRR (2020)
Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson
Induction of Subgoal Automata for Reinforcement Learning. AAAI (2020)
Daniel Furelos-Blanco, Anders Jonsson
Solving Multiagent Planning Problems with Concurrent Conditional Effects. CoRR (2019)
Daniel Furelos-Blanco, Anders Jonsson
Solving Multiagent Planning Problems with Concurrent Conditional Effects. AAAI (2019)
Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson
Induction of Subgoal Automata for Reinforcement Learning. CoRR (2019)
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)
Daniel Furelos-Blanco, Antonio Bucchiarone, Anders Jonsson
CARPooL: Collective Adaptation using concuRrent PLanning. AAMAS (2018)