Daniel Furelos-Blanco

Orcid: 0000-0001-7461-1910

According to our database1, Daniel Furelos-Blanco authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning Robust Reward Machines from Noisy Labels.
Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024


TeamCollab: A Framework for Collaborative Perception-Cognition-Communication-Action.
Proceedings of the 27th International Conference on Information Fusion, 2024

2023
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX.
CoRR, 2023

Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchies of Reward Machines.
Proceedings of the International Conference on Machine Learning, 2023

Learning Reward Machines in Cooperative Multi-agent Tasks.
Proceedings of the Autonomous Agents and Multiagent Systems. Best and Visionary Papers - AAMAS 2023 Workshops, London, UK, May 29, 2023

2022
Population-Based Reinforcement Learning for Combinatorial Optimization.
CoRR, 2022

2021
Induction and Exploitation of Subgoal Automata for Reinforcement Learning.
J. Artif. Intell. Res., 2021

2020
Induction of Subgoal Automata for Reinforcement Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Solving Multiagent Planning Problems with Concurrent Conditional Effects.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
CARPooL: Collective Adaptation using concuRrent PLanning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018


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