Trends in Reinforcement Learning with Pablo Samuel Castro - #443

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

Today we kick off our annual AI Rewind series joined by friend of the show Pablo Samuel Castro, a Staff Research Software Developer at Google Brain. Pablo joined us earlier this year for a discussion about Music & AI, and his Geometric Perspective on Reinforcement Learning, as well our RL office hours during the inaugural TWIMLfest. In today’s conversation, we explore some of the latest and greatest RL advancements coming out of the major conferences this year, broken down into a few major themes, Metrics/Representations, Understanding and Evaluating Deep Reinforcement Learning, and RL in the Real World. This was a very fun conversation, and we encourage you to check out all the great papers and other resources available on the show notes page.

Avsnitt(779)

AI and the Responsible Data Economy with Dawn Song - #403

AI and the Responsible Data Economy with Dawn Song - #403

Today we’re joined by Professor of Computer Science at UC Berkeley, Dawn Song. Dawn’s research is centered at the intersection of AI, deep learning, security, and privacy. She’s currently focused on b...

24 Aug 202053min

Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402

Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402

Today we’re joined by Wilka Carvalho, a PhD student at the University of Michigan, Ann Arbor. In our conversation, we focus on his paper ‘ROMA: A Relational, Object-Model Learning Agent for Sample-Eff...

20 Aug 202041min

Model Explainability Forum - #401

Model Explainability Forum - #401

Today we bring you the latest Discussion Series: The Model Explainability Forum. Our group of experts and researchers explore the current state of explainability and discuss the key emerging ideas sha...

17 Aug 20201h 27min

What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400

What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400

Today we’re joined by Johannes Eichstaedt, an Assistant Professor of Psychology at Stanford University. In our conversation, we explore how Johannes applies his physics background to a career as a com...

13 Aug 202058min

Human-AI Collaboration for Creativity with Devi Parikh - #399

Human-AI Collaboration for Creativity with Devi Parikh - #399

Today we’re joined by Devi Parikh, Associate Professor at the School of Interactive Computing at Georgia Tech, and research scientist at Facebook AI Research (FAIR). In our conversation, we touch on D...

10 Aug 202044min

Neural Augmentation for Wireless Communication with Max Welling - #398

Neural Augmentation for Wireless Communication with Max Welling - #398

Today we’re joined by Max Welling, Vice President of Technologies at Qualcomm Netherlands, and Professor at the University of Amsterdam. In our conversation, we explore Max’s work in neural augmentati...

6 Aug 202048min

Quantum Machine Learning: The Next Frontier? with Iordanis Kerenidis - #397

Quantum Machine Learning: The Next Frontier? with Iordanis Kerenidis - #397

Today we're joined by Iordanis Kerenidis, Research Director CNRS Paris and Head of Quantum Algorithms at QC Ware. Iordanis was an ICML main conference Keynote speaker on the topic of Quantum ML, and...

4 Aug 20201h

ML and Epidemiology with Elaine Nsoesie - #396

ML and Epidemiology with Elaine Nsoesie - #396

Today we continue our ICML series with Elaine Nsoesie, assistant professor at Boston University. In our conversation, we discuss the different ways that machine learning applications can be used to ad...

30 Juli 202046min

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