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.

Avsnitt(782)

Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382

Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382

Today we’re joined by Andreas Madsen, an independent researcher based in Denmark. While we caught up with Andreas to discuss his ICLR spotlight paper, “Neural Arithmetic Units,” we also spend time exp...

11 Juni 202031min

2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381

2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381

Today we’re joined by Rumman Chowdhury, Managing Director and Global Lead of Responsible AI at Accenture. In our conversation with Rumman, we explored questions like:  • Why is now such a critical in...

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Panel: Advancing Your Data Science Career During the Pandemic - #380

Panel: Advancing Your Data Science Career During the Pandemic - #380

Today we’re joined by Ana Maria Echeverri, Caroline Chavier, Hilary Mason, and Jacqueline Nolis, our guests for the recent Advancing Your Data Science Career During the Pandemic panel. In this conver...

4 Juni 20201h 7min

On George Floyd, Empathy, and the Road Ahead

On George Floyd, Empathy, and the Road Ahead

Visit twimlai.com/blacklivesmatter for resources to support organizations pushing for social equity like Black Lives Matter, and groups offering relief for those jailed for exercising their rights to ...

2 Juni 20206min

Engineering a Less Artificial Intelligence with Andreas Tolias - #379

Engineering a Less Artificial Intelligence with Andreas Tolias - #379

Today we’re joined by Andreas Tolias, Professor of Neuroscience at Baylor College of Medicine. We caught up with Andreas to discuss his recent perspective piece, “Engineering a Less Artificial Intell...

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Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378

Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378

Today we’re joined by Joseph Gonzalez, Assistant Professor in the EECS department at UC Berkeley. In our conversation, we explore Joseph’s paper “Train Large, Then Compress: Rethinking Model Size fo...

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The Physics of Data with Alpha Lee - #377

The Physics of Data with Alpha Lee - #377

Today we’re joined by Alpha Lee, Winton Advanced Fellow in the Department of Physics at the University of Cambridge. Our conversation centers around Alpha’s research which can be broken down into thre...

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Is Linguistics Missing from NLP Research? w/ Emily M. Bender - #376 🦜

Is Linguistics Missing from NLP Research? w/ Emily M. Bender - #376 🦜

Today we’re joined by Emily M. Bender, Professor of Linguistics at the University of Washington. Our discussion covers a lot of ground, but centers on the question, "Is Linguistics Missing from NLP ...

18 Maj 202052min

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