Publications

  1. Yunshu Du, Gabriel V. de la Cruz Jr., James Irwin, and Matthew E. Taylor. Initial Progress in Transfer for Deep Reinforcement Learning Algorithms. In Proceedings of the Deep Reinforcement Learning: Frontiers and Challenges (DeepRL) workshop at the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), July 2016. (✤ Authors equally contributed).
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  2. David Isele, José Marcio Luna, Eric Eaton, Gabriel V. de la Cruz Jr., James M. Irwin, Brandon Kallaher, and Matthew E. Taylor. Lifelong Learning for Disturbance Rejection on Mobile Robots. In Proceedings of the IEEE/RSJ International Conference in Intelligent Robots and Systems (IROS 2016). 48% acceptance rate.
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  3. David Isele, José Marcio Luna, Eric Eaton, Gabriel V. de la Cruz Jr., James Irwin, Brandon Kallaher, and Matthew E. Taylor. Work in Progress: Lifelong Learning for Disturbance Rejection on Mobile Robots. In Proceedings of the Adaptive and Learning Agents (ALA) workshop at the Autonomous Agents and Multiagent Systems International Conference (AAMAS 2016), May 2016.
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  4. Gabriel V. de la Cruz Jr., Bei Peng, Walter S. Lasecki, and Matthew E. Taylor. Towards Integrating Real-Time Crowd Advice with Reinforcement Learning. In Proceedings of the 20th ACM Conference on Intelligent User Interfaces (IUI), March 2015. Poster: 41% acceptance rate for poster submissions
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  5. Gabriel V. de la Cruz Jr., Bei Peng, Walter S. Lasecki, and Matthew E. Taylor. Generating Real-Time Crowd Advice to Improve Reinforcement Learning Agents. In Proceedings of the Learning for General Competency in Video Games workshop (AAAI), January 2015.
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