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Safer Exploration in Deep Reinforcement Learning using Action Priors with Sicelukwanda Zwane - TWiML Talk #235
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Safer Exploration in Deep Reinforcement Learning using Action Priors with Sicelukwanda Zwane - TWiML Talk #235
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
54 minutes
Released:
Mar 1, 2019
Format:
Podcast episode
Description
Today we conclude our Black in AI series with Sicelukwanda Zwane, a masters student at the University of Witwatersrand and graduate research assistant at the CSIR. At the workshop, he presented on “Safer Exploration in Deep Reinforcement Learning using Action Priors,” which explores transferring action priors between robotic tasks to reduce the exploration space in reinforcement learning, which in turn reduces sample complexity. In our conversation, we discuss what “safer exploration” means in this sense, the difference between this work and other techniques like imitation learning, and how this fits in with the goal of “lifelong learning.” The complete show notes for this episode can be found at https://twimlai.com/talk/235. To follow along with the Black in AI series, visit https://twimlai.com/blackinai19.
Released:
Mar 1, 2019
Format:
Podcast episode
Titles in the series (100)
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