Deep Reinforcement Learning Primer and Research Frontiers with Kamyar Azizzadenesheli - TWiML Talk #177
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - A podcast by Sam Charrington - Mondays
![](https://is5-ssl.mzstatic.com/image/thumb/Podcasts116/v4/0c/c1/26/0cc12665-42ab-fe43-5bf4-26707e3b2fcb/mza_11206870036036003114.jpeg/300x300bb-75.jpg)
Categories:
Today we’re joined by Kamyar Azizzadenesheli, PhD student at the University of California, Irvine, who joins us to review the core elements of RL, along with a pair of his RL-related papers: “Efficient Exploration through Bayesian Deep Q-Networks” and “Sample-Efficient Deep RL with Generative Adversarial Tree Search.” To skip the Deep Reinforcement Learning primer conversation and jump to the research discussion, skip to the 34:30 mark of the episode. Show notes at https://twimlai.com/talk/177