activity
20212024
most citedOptimal Algorithm Allocation for Robotic Network Cloud Systems

10 citations · 11 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2024

Decision Mamba Architectures

André Correia, Luís A. Alexandre

Recent advancements in imitation learning have been largely fueled by the integration of sequence models, which provide a structured flow of information to effectively mimic task b…

cs.SD2024

Music to Dance as Language Translation using Sequence Models

André Correia, Luís A. Alexandre

Synthesising appropriate choreographies from music remains an open problem. We introduce MDLT, a novel approach that frames the choreography generation problem as a translation tas…

cs.LG2023

DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety

André Correia, Luís Alexandre

Deploying reinforcement learning agents in the real world can be challenging due to the risks associated with learning through trial and error. We propose a task-agnostic method th…

cs.LG2023

A Survey of Demonstration Learning

André Correia, Luís A. Alexandre

With the fast improvement of machine learning, reinforcement learning (RL) has been used to automate human tasks in different areas. However, training such agents is difficult and…

cs.LG2022★ 1 cited

Hierarchical Decision Transformer

André Correia, Luís A. Alexandre

Sequence models in reinforcement learning require task knowledge to estimate the task policy. This paper presents a hierarchical algorithm for learning a sequence model from demons…

cs.CV2022

Contrastive Learning from Demonstrations

André Correia, Luís A. Alexandre

This paper presents a framework for learning visual representations from unlabeled video demonstrations captured from multiple viewpoints. We show that these representations are ap…