47 citations · 84 across the 13 of their papers we have counts for
5 papers · 1 filter
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…
Exploration, Path Planning with Obstacle and Collision Avoidance in a Dynamic Environment
Saeid Alirezazadeh, Luís A. Alexandre
If we give a robot the task of moving an object from its current position to another location in an unknown environment, the robot must explore the map, identify all types of obsta…
Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation
Vasco Lopes, Miguel Santos, Bruno Degardin +1
Neural Architecture Search (NAS) methods have been successfully applied to image tasks with excellent results. However, NAS methods are often complex and tend to converge to local…
Towards Less Constrained Macro-Neural Architecture Search
Vasco Lopes, Luís A. Alexandre
Networks found with Neural Architecture Search (NAS) achieve state-of-the-art performance in a variety of tasks, out-performing human-designed networks. However, most NAS methods h…
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…