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Transfer Learning for Reinforcement Learning Domains: A Survey

Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.
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Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey

Abstract Reinforcement learning (RL) is a popular paradigm for addressing sequential decision tasks in which the agent has only limited environmental feedback. Despite many advances over the past ...
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Boosting for Regression Transfer

David Pardoe and Peter Stone.
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Deep Recurrent Q-Learning for Partially Observable MDPs

BibTeX Entry @InProceedings {SDMIA15-Hausknecht, author = {Matthew Hausknecht and Peter Stone}, title = {Deep Recurrent Q-Learning for Partially Observable MDPs}, booktitle = {AAAI Fall Symposium on ...
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Telemoma: A Modular and Versatile Teleoperation System for Mobile Manipulation

A critical bottleneck limiting imitation learning in robotics is the lack of data. This problem is more severe in mobile manipulation, where collecting demonstrations is harder than in stationary ...
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Cybersecurity Concentration

As our daily lives increasingly depend on technology, the security and privacy of that technology becomes ever more important. Gain a critical understanding of the technological needs, threats, and ...