Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility. - Antonio Bucchiarone; Daniel Furelos-Blanco; Anders Jonsson 001; Fahmida Khandokar; Monjur M. Mourshed (AAMAS, 2018)

CARPooL: Collective Adaptation using concuRrent PLanning. - Daniel Furelos-Blanco; Antonio Bucchiarone; Anders Jonsson 001 (AAMAS, 2018)

Solving Multiagent Planning Problems with Concurrent Conditional Effects. - Daniel Furelos-Blanco; Anders Jonsson 001 (AAAI, 2019)

Induction of Subgoal Automata for Reinforcement Learning. - Daniel Furelos-Blanco; Mark Law; Alessandra Russo; Krysia Broda; Anders Jonsson 001 (AAAI, 2020)

Induction and Exploitation of Subgoal Automata for Reinforcement Learning. - Daniel Furelos-Blanco; Mark Law; Anders Jonsson 001; Krysia Broda; Alessandra Russo (J. Artif. Intell. Res., 2021)

Population-Based Reinforcement Learning for Combinatorial Optimization. - Nathan Grinsztajn; Daniel Furelos-Blanco; Thomas D. Barrett (CoRR, 2022)

Learning Reward Machines in Cooperative Multi-agent Tasks. - Leo Ardon; Daniel Furelos-Blanco; Alessandra Russo (AAMAS Workshops, 2023)

Hierarchies of Reward Machines. - Daniel Furelos-Blanco; Mark Law; Anders Jonsson 001; Krysia Broda; Alessandra Russo (ICML, 2023)

Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization. - Nathan Grinsztajn; Daniel Furelos-Blanco; Shikha Surana; Clément Bonnet; Tom Barrett (NeurIPS, 2023)

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - 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; et al. (CoRR, 2023)

TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action. - Julian de Gortari Briseno; Roko Parac; Leo Ardon; Marc Roig Vilamala; Daniel Furelos-Blanco; Lance M. Kaplan; Vinod K. Mishra; Federico Cerutti 001; Alun D. Preece; Alessandra Russo; Mani Srivastava 001 (FUSION, 2024)

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX. - 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; et al. (ICLR, 2024)

Learning Robust Reward Machines from Noisy Labels. - Roko Parac; Lorenzo Nodari; Leo Ardon; Daniel Furelos-Blanco; Federico Cerutti 001; Alessandra Russo (KR, 2024)

FORM: Learning Expressive and Transferable First-Order Logic Reward Machines. - Leo Ardon; Daniel Furelos-Blanco; Roko Parac; Alessandra Russo (AAMAS, 2025)