Diogo S. Carvalho

16 papers A* 2A 3Misc 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning via Predictive Observation Imputation (Abstract Reprint).
AAAI
Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo
2025 J jnl
Centralized training with hybrid execution in multi-agent reinforcement learning via predictive observation imputation.
Artif. Intell.
Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo
2025 J jnl
Multi-Bellman operator for convergence of
Trans. Mach. Learn. Res.
Diogo S. Carvalho, Pedro A. Santos, Francisco S. Melo
2025 — conf
Optimizing 2D Packing Strategies for Autoclave Loading Using Deep Reinforcement Learning.
EPIA (2)
Victor Ulisses Pugliese, Diogo S. Carvalho, Oséias Faria de Arruda Ferreira, Fábio Augusto Faria, Francisco S. Melo
2025 J jnl
Reinforcement learning in convergently non-stationary environments: Feudal hierarchies and learned representations.
Artif. Intell.
Diogo S. Carvalho, Pedro A. Santos, Francisco S. Melo
2024 A conf
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning.
AAMAS
Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo
2024 J jnl
The impact of data distribution on Q-learning with function approximation.
Mach. Learn.
Pedro P. Santos, Diogo S. Carvalho, Alberto Sardinha, Francisco S. Melo
2023 J jnl
Multi-Bellman operator for convergence of Q-learning with linear function approximation.
CoRR
Diogo S. Carvalho, Pedro A. Santos, Francisco S. Melo
2023 A conf
Theoretical Remarks on Feudal Hierarchies and Reinforcement Learning.
ECAI
Diogo S. Carvalho, Francisco S. Melo, Pedro A. Santos
2022 J jnl
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning.
CoRR
Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo
2022 J jnl
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment.
CoRR
Diogo S. Carvalho, Biswa Sengupta
2022 Misc conf
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-agent Environment.
EPIA
Diogo S. Carvalho, Biswa Sengupta
2021 A conf
CHARET: Character-centered Approach to Emotion Tracking in Stories.
AAMAS
Diogo S. Carvalho, Joana Campos, Manuel Guimarães, Ana Antunes, João Dias, Pedro A. Santos
2021 J jnl
CHARET: Character-centered Approach to Emotion Tracking in Stories.
CoRR
Diogo S. Carvalho, Joana Campos, Manuel Guimarães, Ana Antunes, João Dias, Pedro A. Santos
2021 J jnl
Understanding the Impact of Data Distribution on Q-learning with Function Approximation.
CoRR
Pedro P. Santos, Francisco S. Melo, Alberto Sardinha, Diogo S. Carvalho
2020 A* conf
A new convergent variant of Q-learning with linear function approximation.
NeurIPS
Diogo S. Carvalho, Francisco S. Melo, Pedro Santos