Applying RL to Real-World Robotics with Abhishek Gupta - #466

Applying RL to Real-World Robotics with Abhishek Gupta - #466

Today we’re joined by Abhishek Gupta, a PhD Student at UC Berkeley. Abhishek, a member of the BAIR Lab, joined us to talk about his recent robotics and reinforcement learning research and interests, which focus on applying RL to real-world robotics applications. We explore the concept of reward supervision, and how to get robots to learn these reward functions from videos, and the rationale behind supervised experts in these experiments. We also discuss the use of simulation for experiments, data collection, and the path to scalable robotic learning. Finally, we discuss gradient surgery vs gradient sledgehammering, and his ecological RL paper, which focuses on the “phenomena that exist in the real world” and how humans and robotics systems interface in those situations. The complete show notes for this episode can be found at https://twimlai.com/go/466.

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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

Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395

Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395

Today we’re joined by Hal Daume III, professor at the University of Maryland and Co-Chair of the 2020 ICML Conference. We had the pleasure of catching up with Hal ahead of this year's ICML to discuss ...

27 Juli 20201h 2min

Graph ML Research at Twitter with Michael Bronstein - #394

Graph ML Research at Twitter with Michael Bronstein - #394

Today we’re excited to be joined by return guest Michael Bronstein, Head of Graph Machine Learning at Twitter. In our conversation, we discuss the evolution of the graph machine learning space, his ne...

23 Juli 202055min

Panel: The Great ML Language (Un)Debate! - #393

Panel: The Great ML Language (Un)Debate! - #393

Today we’re excited to bring ‘The Great ML Language (Un)Debate’ to the podcast! In the latest edition of our series of live discussions, we brought together experts and enthusiasts to discuss both pop...

20 Juli 20201h 34min

What the Data Tells Us About COVID-19 with Eric Topol - #392

What the Data Tells Us About COVID-19 with Eric Topol - #392

Today we’re joined by Eric Topol, Director & Founder of the Scripps Research Translational Institute, and author of the book Deep Medicine. We caught up with Eric to talk through what we’ve learned ab...

16 Juli 202042min

The Case for Hardware-ML Model Co-design	with Diana Marculescu - #391

The Case for Hardware-ML Model Co-design with Diana Marculescu - #391

Today we’re joined by Diana Marculescu, Professor of Electrical and Computer Engineering at UT Austin. We caught up with Diana to discuss her work on hardware-aware machine learning. In particular, ...

13 Juli 202045min

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