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Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning
Reinforcement learning is an approach used by intelligent agents to auto...
09/21/2020 ∙ by Adam Bignold, et al. ∙
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Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition
Currently, unmanned aerial vehicles, such as drones, are becoming a part...
09/09/2020 ∙ by Ruben Contreras, et al. ∙
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KutralNet: A Portable Deep Learning Model for Fire Recognition
Most of the automatic fire alarm systems detect the fire presence throug...
08/16/2020 ∙ by Angel Ayala, et al. ∙
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A Comparison of Humanoid Robot Simulators: A Quantitative Approach
Research on humanoid robotic systems involves a considerable amount of c...
08/11/2020 ∙ by Angel Ayala, et al. ∙
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Moody Learners – Explaining Competitive Behaviour of Reinforcement Learning Agents
Designing the decision-making processes of artificial agents that are in...
07/30/2020 ∙ by Pablo Barros, et al. ∙
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Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment
Robots are extending their presence in domestic environments every day, ...
07/07/2020 ∙ by Ithan Moreira, et al. ∙
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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...
07/03/2020 ∙ by Adam Bignold, et al. ∙
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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...
06/24/2020 ∙ by Francisco Cruz, et al. ∙
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iCub: Learning Emotion Expressions using Human Reward
The purpose of the present study is to learn emotion expression represen...
03/30/2020 ∙ by Nikhil Churamani, et al. ∙
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Improving interactive reinforcement learning: What makes a good teacher?
Interactive reinforcement learning has become an important apprenticeshi...
04/15/2019 ∙ by Francisco Cruz, et al. ∙
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Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning
Interactive reinforcement learning (IRL) extends traditional reinforceme...
07/26/2018 ∙ by Francisco Cruz, et al. ∙
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A probabilistic framework for handwritten text line segmentation
We successfully combine Expectation-Maximization algorithm and variation...
05/07/2018 ∙ by Francisco Cruz, et al. ∙
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