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 ...

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

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 ...

David Pardoe and Peter Stone.

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 ...

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 ...

PhD students Dongmyeong Lee and Zifan Xu prepare their child-sized humanoid robots before a match at RoboCup 2025 in Salvador ...

Lili Qiu, professor of Computer Science and a leader in AI systems, wireless sensing, and real-world intelligence, was awarded a Test-of-Time award by ACM SIGMOBILE for her 2003 paper: Impact of ...

Joshua Baer is the founder of Capital Factory, a coworking community and accelerator designed to help startups find their first investors, customers and employees. Josh founded his first startup in ...

AI addresses the challenges of machine cognition, spanning the theoretical and empirical across diverse subfields such as machine learning, computer vision, NLP and robotics.

Theory focuses on the theoretical foundations of computer science and frequently relies on rigorous mathematical proofs. Potential applications include algorithm design and quantum computation.