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Deep Reinforcement Learning Workshop
Karol Hausman · Qi Zhang · Matthew Taylor · Martha White · Suraj Nair · Manan Tomar · Risto Vuorio · Ted Xiao · Zeyu Zheng

Fri Dec 09 08:25 AM -- 05:35 PM (PST) @ Virtual
Event URL: https://sites.google.com/view/deep-rl-workshop-neurips-2022 »

In recent years, the use of deep neural networks as function approximators has enabled researchers to extend reinforcement learning techniques to solve increasingly complex control tasks. The emerging field of deep reinforcement learning has led to remarkable empirical results in rich and varied domains like robotics, strategy games, and multi-agent interactions. This workshop will bring together researchers working at the intersection of deep learning and reinforcement learning, and it will help interested researchers outside of the field gain a high-level view about the current state of the art and potential directions for future contributions.

Author Information

Karol Hausman (Google Brain)
Qi Zhang (University of South Carolina)
Matthew Taylor (U. of Alberta)
Martha White (University of Alberta)
Suraj Nair (Stanford University)
Manan Tomar (University of Alberta)
Risto Vuorio (University of Oxford)

I'm a PhD student in WhiRL at University of Oxford. I'm interested in reinforcement learning and meta-learning.

Ted Xiao (Google Brain)
Zeyu Zheng (University of Michigan)

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