Gabriel Victor de la Cruz

According to our database, Gabriel Victor de la Cruz authored at least 7 papers between 2015 and 2019.

Collaborative distances:

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

2019

Pre-training with non-expert human demonstration for deep reinforcement learning.

Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor

Knowl. Eng. Rev., 2019

Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning.

Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor

CoRR, 2019

Robot-enabled support of daily activities in smart home environments.

Garrett Wilson, Christopher Pereyda, Nisha Raghunath, Gabriel Victor de la Cruz, Shivam Goel, Sepehr Nesaei, Bryan David Minor, Maureen Schmitter-Edgecombe, Matthew E. Taylor, Diane J. Cook

Cogn. Syst. Res., 2019

2017

Pre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning.

Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor

CoRR, 2017

2016

Lifelong learning for disturbance rejection on mobile robots.

David Isele, José-Marcio Luna, Eric Eaton, Gabriel Victor de la Cruz, James Irwin, Brandon Kallaher, Matthew E. Taylor

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Towards Integrating Real-Time Crowd Advice with Reinforcement Learning.

Gabriel Victor de la Cruz, Bei Peng, Walter S. Lasecki, Matthew E. Taylor

Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, 2015

Generating Real-Time Crowd Advice to Improve Reinforcement Learning Agents.

Gabriel Victor de la Cruz, Bei Peng, Walter Stephen Lasecki, Matthew Edmund Taylor

Proceedings of the Learning for General Competency in Video Games, 2015