Ricardo Luna Gutierrez

Orcid: 0000-0001-9915-0989

According to our database1, Ricardo Luna Gutierrez authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration.
CoRR, 2024

Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Sustainability of Data Center Digital Twins with Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics.
CoRR, 2023

PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robustness with Query-efficient Adversarial Attack using Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Robustness with Black-Box Adversarial Attack using Reinforcement Learning.
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2021
Meta-Reinforcement Learning for Heuristic Planning.
CoRR, 2021

Meta Reinforcement Learning for Heuristic Planing.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020
Information-theoretic Task Selection for Meta-Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Curriculum Learning for Cumulative Return Maximization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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