Today, harvesting delicate crops like strawberries remains one of the trickiest tasks to automate. In the field, a robot must ...

Roberto Martin-Martin is an Assistant Professor of Computer Science at UT Austin. His research bridges robotics, computer ...

Rapid advances in machine learning have enabled us to build systems with capabilities that were unimaginable just a few years ago, such as AlphaGo, DeepSeekCoder, and AlphaEvolve. The goal of this ...

Zifan Xu, Myoungkyu Seo, Dongmyeong Lee, Hao Fu, Jiaheng Hu, Jiaxun Cui, Yuqian Jiang, Zhihan Wang, Anastasiia Brund, Joydeep Biswas, and Peter Stone. Learning Agile Striker Skills for Humanoid Soccer ...

This course will be a graduate research seminar in grounded natural language processing (GNLP), a subarea of AI that studies the connection between natural language and perception and action in the ...

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

Explore upcoming talks and events hosted by the Department of Computer Science at the University of Texas at Austin.

David Pardoe and Peter Stone.

Assistant Professor Karthik Mahadevan is an Incoming Assistant Professor in Computer Science, and Core Faculty at Texas Robotics. Previously, he was a postdoctoral researcher at MIT, and received his ...

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, ...

An Assessment of Autonomous Vehicles: Traffic Impacts and Infrastructure Needs --- Final Report. Kara Kockelman, Stephen Boyles, Peter Stone, Dan Fagnant, Rahul Patel, Michael W. Levin, Guni Sharon, ...

Task Factorization in Curriculum Learning. Reuth Mirsky, Shahaf S. Shperberg, Yulin Zhang, Zifan Xu, Yuqian Jiang, Jiaxun Cui, and Peter Stone. In ICML workshop on Decision Awareness in Reinforcement ...