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.
Artificial Intelligence and Life in 2030. Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram ...
David Pardoe and Peter Stone.
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 ...
The right music at the right time: adaptive personalized playlists based on sequence modeling. Elad Liebman, Maytal Saar-Tsechansky, and Peter Stone Peter Stone. Management Information Systems ...
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 ...
Recent work has shown that deep neural networks are capable of approximating both value functions and policies in reinforcement learning domains featuring continuous state and action spaces. However, ...
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 ...
PhD students Dongmyeong Lee and Zifan Xu prepare their child-sized humanoid robots before a match at RoboCup 2025 in Salvador, Brazil. In Brief UT Austin Villa, the award-winning robot soccer team ...
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.
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