2 citations · 3 across the 4 of their papers we have counts for
4 papers
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario
Hugo Muñoz, Ernesto Portugal, Angel Ayala +2
Reinforcement learning is a machine learning approach based on behavioral psychology. It is focused on learning agents that can acquire knowledge and learn to carry out new tasks b…
Reinforcement Learning for UAV control with Policy and Reward Shaping
Cristian Millán-Arias, Ruben Contreras, Francisco Cruz +1
In recent years, unmanned aerial vehicle (UAV) related technology has expanded knowledge in the area, bringing to light new problems and challenges that require solutions. Furtherm…
Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task
Angel Ayala, Francisco Cruz, Bruno Fernandes +1
Explainable reinforcement learning allows artificial agents to explain their behavior in a human-like manner aiming at non-expert end-users. An efficient alternative of creating ex…
Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents
Cristian Millán-Arias, Bruno Fernandes, Francisco Cruz
Proxemics is a branch of non-verbal communication concerned with studying the spatial behavior of people and animals. This behavior is an essential part of the communication proces…