Ruben Rodriguez Torrado

According to our database, Ruben Rodriguez Torrado authored at least 9 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Physics-informed attention-based neural network for solving non-linear partial differential equations.

Ruben Rodriguez Torrado, Pablo Ruiz, Luis Cueto-Felgueroso, Michael Cerny Green, Tyler Friesen, Sebastien Matringe, Julian Togelius

CoRR, 2021

2020

Bootstrapping Conditional GANs for Video Game Level Generation.

Ruben Rodriguez Torrado, Ahmed Khalifa, Michael Cerny Green, Niels Justesen, Sebastian Risi, Julian Togelius

Proceedings of the IEEE Conference on Games, 2020

2019

Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling.

Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas

Frontiers Big Data, 2019

Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling.

Jirí Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Rodriguez Torrado, Andrés Codas

CoRR, 2019

2018

Procedural Level Generation Improves Generality of Deep Reinforcement Learning.

Niels Justesen, Ruben Rodriguez Torrado, Philip Bontrager, Ahmed Khalifa, Julian Togelius, Sebastian Risi

CoRR, 2018

Deep Reinforcement Learning for General Video Game AI.

Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius, Jialin Liu, Diego Pérez-Liébana

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

Evolving Agents for the Hanabi 2018 CIG Competition.

Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017

A cognitive assistant for risk identification and modeling.

Dharmashankar Subramanian, Debarun Bhattacharjya, Ruben Rodriguez Torrado, Jeffrey O. Kephart, Vijil Chenthamarakshan, Jesus Rios

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Optimal Sequential Drilling for Hydrocarbon Field Development Planning.

Ruben Rodriguez Torrado, Jesus Rios, Gerald Tesauro

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017