IFML Seminar
IFML Seminar: 10/25/24 - Representation-based Reinforcement Learning
Abstract: Reinforcement learning often faces a trade-off between model flexibility and computational tractability. Flexible models can capture complex dynamics and policy but often introduce nonlinearity, making planning and exploration challenging. In this talk, we...
Upcoming Events
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October2512:15 - 1 pm
IFML Seminar
Abstract: Reinforcement learning often faces a trade-off between model flexibility and computational tractability. Flexible models can capture complex…
Past Events
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January2711 am - 12 pm
Co-hosted by UT Good Systems, Forum for Artificial Intelligence, and IFML
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January26All day
The University of Texas at Austin is launching a new online master’s program in AI with the potential to bring...
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January2012 - 1 pm
IFML Seminar
Abstract: Sparsity has widely shown its versatility in model compression, robustness improvement, and overfitting mitigation by selectively masking out…
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November163 - 5 pm
Join us for the 2022 Machine Learning Lab Public Lecture with Alan Bovik!
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November101 - 1:45pm
IFML Seminar
Abstract: This talk will first motivate and illustrate the use of margins as a way to interpret and analyze the...
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November412:15 - 1 pm
IFML Seminar
A central problem in machine learning is as follows: How should we train models using data generated from a collection...