10 citations · 11 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…