By Dr Francisco Cruz Naranjo

Preprints

Lin Z; Cruz F; Sandoval EB, 2024, Self context-aware emotion perception on human-robot interaction, , http://arxiv.org/abs/2401.10946v1

Bernotat J; Jirak D; Sandoval EB; Cruz F; Sciutti A, 2023, Asch Meets HRI: Human Conformity to Robot Groups, , http://arxiv.org/abs/2308.13307v1

Muñoz H; Portugal E; Ayala A; Fernandes B; Cruz F, 2022, Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario, , http://arxiv.org/abs/2212.06967v1

Millán-Arias C; Contreras R; Cruz F; Fernandes B, 2022, Reinforcement Learning for UAV control with Policy and Reward Shaping, , http://arxiv.org/abs/2212.03828v1

Schroeter N; Cruz F; Wermter S, 2022, Introspection-based Explainable Reinforcement Learning in Episodic and Non-episodic Scenarios, , http://arxiv.org/abs/2211.12930v1

Cruz F; Bignold A; Nguyen HS; Dazeley R; Vamplew P, 2022, Broad-persistent Advice for Interactive Reinforcement Learning Scenarios, , http://arxiv.org/abs/2210.05187v1

Ly A; Dazeley R; Vamplew P; Cruz F; Aryal S, 2022, Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks, , http://arxiv.org/abs/2210.03325v1

Cruz F; Young C; Dazeley R; Vamplew P, 2022, Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios, , http://arxiv.org/abs/2207.03214v1

Nguyen HS; Cruz F; Dazeley R, 2021, A Broad-persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments, , http://arxiv.org/abs/2110.08003v2

Dazeley R; Vamplew P; Cruz F, 2021, Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey, , http://arxiv.org/abs/2108.09003v1

Ayala A; Cruz F; Fernandes B; Dazeley R, 2021, Explainable Deep Reinforcement Learning Using Introspection in a Non-episodic Task, , http://arxiv.org/abs/2108.08911v1

Millán-Arias C; Fernandes B; Cruz F, 2021, Learning Proxemic Behavior Using Reinforcement Learning with Cognitive Agents, , http://arxiv.org/abs/2108.03730v1

Dazeley R; Vamplew P; Foale C; Young C; Aryal S; Cruz F, 2021, Levels of explainable artificial intelligence for human-aligned conversational explanations, , http://dx.doi.org/10.1016/j.artint.2021.103525

Bignold A; Cruz F; Dazeley R; Vamplew P; Foale C, 2021, Persistent Rule-based Interactive Reinforcement Learning, , http://arxiv.org/abs/2102.02441v2

Cuevas J; Henriquez C; Cruz F, 2020, Towards Assistive Diagnoses in m-Health: A Gray-box Neural Model for Cerebral Autoregulation Index, , http://arxiv.org/abs/2011.12115v1

Bignold A; Cruz F; Dazeley R; Vamplew P; Foale C, 2020, Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning, , http://dx.doi.org/10.1007/s00521-021-06850-6

Contreras R; Ayala A; Cruz F, 2020, Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition, , http://dx.doi.org/10.3390/computers9030075

Ayala A; Fernandes B; Cruz F; Macêdo D; Oliveira ALI; Zanchettin C, 2020, KutralNet: A Portable Deep Learning Model for Fire Recognition, , http://dx.doi.org/10.1109/IJCNN48605.2020.9207202

Ayala A; Cruz F; Campos D; Rubio R; Fernandes B; Dazeley R, 2020, A Comparison of Humanoid Robot Simulators: A Quantitative Approach, , http://arxiv.org/abs/2008.04627v1

Barros P; Tanevska A; Cruz F; Sciutti A, 2020, Moody Learners -- Explaining Competitive Behaviour of Reinforcement Learning Agents, , http://arxiv.org/abs/2007.16045v1

Moreira I; Rivas J; Cruz F; Dazeley R; Ayala A; Fernandes B, 2020, Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment, , http://dx.doi.org/10.3390/app10165574

Bignold A; Cruz F; Taylor ME; Brys T; Dazeley R; Vamplew P; Foale C, 2020, A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review, , http://dx.doi.org/10.1007/s12652-021-03489-y

Cruz F; Dazeley R; Vamplew P; Moreira I, 2020, Explainable robotic systems: Understanding goal-driven actions in a reinforcement learning scenario, , http://dx.doi.org/10.1007/s00521-021-06425-5

Cruz F; Magg S; Nagai Y; Wermter S, 2019, Improving interactive reinforcement learning: What makes a good teacher?, , http://dx.doi.org/10.1080/09540091.2018.1443318

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