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ORCIDGabriel Victor de la Cruz
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2010 – 2019
- 2019
[j2]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:
Robot-enabled support of daily activities in smart home environments. Cogn. Syst. Res. 54: 258-272 (2019)- [j1]Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor:
Pre-training with non-expert human demonstration for deep reinforcement learning. Knowl. Eng. Rev. 34: e10 (2019) - [i3]Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor:
Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning. CoRR abs/1904.02206 (2019) - 2018
- [i2]Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor:
Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning. CoRR abs/1812.08904 (2018) - 2017
- [i1]Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor:
Pre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning. CoRR abs/1709.04083 (2017) - 2016
- [c3]David Isele, José-Marcio Luna, Eric Eaton, Gabriel Victor de la Cruz, James Irwin, Brandon Kallaher, Matthew E. Taylor:
Lifelong learning for disturbance rejection on mobile robots. IROS 2016: 3993-3998 - 2015
- [c2]Gabriel Victor de la Cruz, Bei Peng, Walter Stephen Lasecki, Matthew Edmund Taylor:
Generating Real-Time Crowd Advice to Improve Reinforcement Learning Agents. AAAI Workshop: Learning for General Competency in Video Games 2015 - [c1]Gabriel Victor de la Cruz, Bei Peng, Walter S. Lasecki, Matthew E. Taylor:
Towards Integrating Real-Time Crowd Advice with Reinforcement Learning. IUI Companion 2015: 17-20
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