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Konten disediakan oleh Robin Ranjit Singh Chauhan. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Robin Ranjit Singh Chauhan atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang dijelaskan di sini https://id.player.fm/legal.
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About TalkRL Podcast: All Reinforcement Learning, All the Time

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Konten disediakan oleh Robin Ranjit Singh Chauhan. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Robin Ranjit Singh Chauhan atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang dijelaskan di sini https://id.player.fm/legal.

August 2, 2019

Transcript

The idea with TalkRL Podcast is to hear from brilliant folks from across the world of Reinforcement Learning, both research and applications. As much as possible, I want to hear from them in their own language. I try to get to know as much as I can about their work before hand.

And Im not here to convert anyone, I want to reach people who are already into RL. So we wont stop to explain what a value function is, for example. Though we also wont assume everyone has read the very latest papers.

Why am I doing this? Because it’s a great way to learn from the most inspiring people in the field! There’s so much happening in the universe of RL, and there’s tons of interesting angles and so many fascinating minds to learn from.

Now I know there is no shortage of books, papers, and lectures, but so much goes unsaid.

I mean I guess if you work at MILA or AMII or Vector Institute, you might be having these conversations over coffee all the time, but I live in a little village in the woods in BC, so for me, these remote interviews are like a great way to have these conversations, and I hope sharing with the community makes it more worthwhile for everyone.

In terms of format, the first 2 episodes were interviews in longer form, around an hour long. Going forward, some may be a lot shorter, it depends on the guest.

If you want want to be a guest or suggest a guest, goto talkrl.com/about, you will find a link to a suggestion form.

Thanks for listening!

  continue reading

53 episode

Artwork
iconBagikan
 
Manage episode 241516022 series 2536330
Konten disediakan oleh Robin Ranjit Singh Chauhan. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Robin Ranjit Singh Chauhan atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang dijelaskan di sini https://id.player.fm/legal.

August 2, 2019

Transcript

The idea with TalkRL Podcast is to hear from brilliant folks from across the world of Reinforcement Learning, both research and applications. As much as possible, I want to hear from them in their own language. I try to get to know as much as I can about their work before hand.

And Im not here to convert anyone, I want to reach people who are already into RL. So we wont stop to explain what a value function is, for example. Though we also wont assume everyone has read the very latest papers.

Why am I doing this? Because it’s a great way to learn from the most inspiring people in the field! There’s so much happening in the universe of RL, and there’s tons of interesting angles and so many fascinating minds to learn from.

Now I know there is no shortage of books, papers, and lectures, but so much goes unsaid.

I mean I guess if you work at MILA or AMII or Vector Institute, you might be having these conversations over coffee all the time, but I live in a little village in the woods in BC, so for me, these remote interviews are like a great way to have these conversations, and I hope sharing with the community makes it more worthwhile for everyone.

In terms of format, the first 2 episodes were interviews in longer form, around an hour long. Going forward, some may be a lot shorter, it depends on the guest.

If you want want to be a guest or suggest a guest, goto talkrl.com/about, you will find a link to a suggestion form.

Thanks for listening!

  continue reading

53 episode

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