47 citations · 84 across the 13 of their papers we have counts for
14 papers
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…
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance
Vasco Lopes, Bruno Degardin, Luís A. Alexandre
Neural Architecture Search (NAS) benchmarks significantly improved the capability of developing and comparing NAS methods while at the same time drastically reduced the computation…
A Survey on Task Allocation and Scheduling in Robotic Network Systems
Saeid Alirezazadeh, Luís A. Alexandre
Cloud Robotics is helping to create a new generation of robots that leverage the nearly unlimited resources of large data centers (i.e., the cloud), overcoming the limitations impo…
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…