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Francisco S. Melo — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Francisco S. Melo
14
papers ·
11
citations ·
26
h-index
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · University of Lisbon · Instituto Politécnico de Lisboa
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Most-cited papers
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning
2019 · 3 citations
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents
2021 · 2 citations
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
2022 · 1 citations
Solving General-Utility Markov Decision Processes in the Single-Trial Regime with Online Planning
2025
Distributed Value Decomposition Networks with Networked Agents
2025
Networked Agents in the Dark: Team Value Learning under Partial Observability
2025
A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers
2021
Learning to Perceive in Deep Model-Free Reinforcement Learning
2023
Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback
2023
The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes
2024
Top co-authors
Alberto Sardinha
· 7
Guilherme S. Varela
· 3
Pedro P. Santos
· 3
Ana Paiva
· 2
Miguel Vasco
· 2
Diogo S. Carvalho
· 1
Gon\c{c}alo Querido
· 1
Hang Yin
· 1
João Dias
· 1
João Ribeiro
· 1
Manuel Lopes
· 1
Pedro A. Santos
· 1
Topics
Model-Based RL
Value-Based
Multi-Agent
Game AI
Policy Gradient
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Safe RL
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