research
∙
08/25/2023
Asch Meets HRI: Human Conformity to Robot Groups
We present a research outline that aims at investigating group dynamics ...
share
research
∙
12/14/2022
Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario
Reinforcement learning is a machine learning approach based on behaviora...
research
∙
12/06/2022
Reinforcement Learning for UAV control with Policy and Reward Shaping
In recent years, unmanned aerial vehicle (UAV) related technology has ex...
research
∙
11/23/2022
Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios
With the increasing presence of robotic systems and human-robot environm...
research
∙
10/11/2022
Broad-persistent Advice for Interactive Reinforcement Learning Scenarios
The use of interactive advice in reinforcement learning scenarios allows...
research
∙
10/07/2022
Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks
Deep Q-Networks algorithm (DQN) was the first reinforcement learning alg...
research
∙
09/15/2022
Intuitive Robot Programming by Capturing Human Manufacturing Skills: A Framework for the Process of Glass Adhesive Application
There is a great demand for the robotization of manufacturing processes ...
research
∙
07/07/2022
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios
Explainable artificial intelligence is a research field that tries to pr...
research
∙
10/15/2021
A Broad-persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments
Deep Reinforcement Learning (DeepRL) methods have been widely used in ro...
research
∙
08/20/2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey
Broad Explainable Artificial Intelligence moves away from interpreting i...
research
∙
08/18/2021
Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task
Explainable reinforcement learning allows artificial agents to explain t...
research
∙
08/08/2021
Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents
Proxemics is a branch of non-verbal communication concerned with studyin...
research
∙
07/07/2021
Levels of explainable artificial intelligence for human-aligned conversational explanations
Over the last few years there has been rapid research growth into eXplai...
research
∙
02/04/2021
Persistent Rule-based Interactive Reinforcement Learning
Interactive reinforcement learning has allowed speeding up the learning ...
research
∙
09/21/2020
Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning
Reinforcement learning is an approach used by intelligent agents to auto...
research
∙
09/09/2020
Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition
Currently, unmanned aerial vehicles, such as drones, are becoming a part...
research
∙
08/16/2020
KutralNet: A Portable Deep Learning Model for Fire Recognition
Most of the automatic fire alarm systems detect the fire presence throug...
research
∙
08/11/2020
A Comparison of Humanoid Robot Simulators: A Quantitative Approach
Research on humanoid robotic systems involves a considerable amount of c...
research
∙
07/30/2020
Moody Learners – Explaining Competitive Behaviour of Reinforcement Learning Agents
Designing the decision-making processes of artificial agents that are in...
research
∙
07/07/2020
Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment
Robots are extending their presence in domestic environments every day, ...
research
∙
07/03/2020
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review
A long-term goal of reinforcement learning agents is to be able to perfo...
research
∙
06/24/2020
Explainable robotic systems: Interpreting outcome-focused actions in a reinforcement learning scenario
Robotic systems are more present in our society every day. In human-robo...
research
∙
03/30/2020
iCub: Learning Emotion Expressions using Human Reward
The purpose of the present study is to learn emotion expression represen...
research
∙
04/15/2019
Improving interactive reinforcement learning: What makes a good teacher?
Interactive reinforcement learning has become an important apprenticeshi...
research
∙
07/26/2018
Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning
Interactive reinforcement learning (IRL) extends traditional reinforceme...
research
∙
05/07/2018
