Peter Welinder — Deep Reinforcement Learning and Robotics

Peter Welinder — Deep Reinforcement Learning and Robotics

Peter Welinder is a research scientist and roboticist at OpenAI. Before that, he was an engineer at Dropbox and ran the machine learning team, and before that, he co-founded Anchovi Labs a startup using Computer Vision to organize photos that was acquired by Dropbox in 2012. In this episode of our podcast, Peter shares his experiences and the challenges associated with building a robotic hand that can solve a rubix cube.

Read some of Peter’s Articles:

https://openai.com/blog/authors/peter/


Follow Peter on Twitter:

https://twitter.com/npew


Check out our podcasts homepage for transcripts and more episodes!

www.wandb.com/podcast


🔊 Get our podcast on Apple, and Spotify!

Apple Podcasts: https://bit.ly/2WdrUvI

Spotify: https://bit.ly/2SqtadF


We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast. We hope you have as much fun listening to it as we had making it.


👩🏼‍🚀Weights and Biases:

We’re always free for academics and open source projects. Email carey@wandb.com with any questions or feature suggestions.


- Blog: https://www.wandb.com/articles

- Gallery: See what you can create with W&B - https://app.wandb.ai/gallery

- Continue the conversation on our slack community - http://bit.ly/wandb-forum


🎙Host: Lukas Biewald - https://twitter.com/l2k

👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai

📹Editor: Cayla Sharp - http://caylasharp.com/

Jaksot(136)

Dave Selinger — AI and the Next Generation of Security Systems

Dave Selinger — AI and the Next Generation of Security Systems

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Tim & Heinrich — Democraticizing Reinforcement Learning Research

Tim & Heinrich — Democraticizing Reinforcement Learning Research

Since reinforcement learning requires hefty compute resources, it can be tough to keep up without a serious budget of your own. Find out how the team at Facebook AI Research (FAIR) is looking to incre...

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Daphne Koller — Digital Biology and the Next Epoch of Science

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Piero Molino — The Secret Behind Building Successful Open Source Projects

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Piero shares the story of how Ludwig was created, as well as the ins and outs of how Ludwig works and the future of machine learning with no code.Piero is a Staff Research Scientist in the Hazy Resear...

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Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit

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How Rosanne is working to democratize AI research and improve diversity and fairness in the field through starting a non-profit after being a founding member of Uber AI Labs, doing lots of amazing res...

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Sean Gourley — NLP, National Defense, and Establishing Ground Truth

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In this episode of Gradient Dissent, Primer CEO Sean Gourley and Lukas Biewald sit down to talk about NLP, working with vast amounts of information, and how crucially it relates to national defense. T...

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Peter Wang — Anaconda, Python, and Scientific Computing

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Peter Wang talks about his journey of being the CEO of and co-founding Anaconda, his perspective on the Python programming language, and its use for scientific computing.Peter Wang has been developing...

21 Tammi 202150min

Chris Anderson — Robocars, Drones, and WIRED Magazine

Chris Anderson — Robocars, Drones, and WIRED Magazine

Chris shares his journey starting from playing in R.E.M, becoming interested in physics to leading WIRED Magazine for 11 years. His robot fascination lead to starting a company that manufactures drone...

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