))
2 - Kanaad Parvate, NBA shot policies, MDPs, Reinforcement Learning, etc
Manage episode 245765995 series 2567711
Innehåll tillhandahållet av Canzhi Ye. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Canzhi Ye eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
My guest today is Kanaad. He is a friend of mine from Berkeley, and he is a Cavs and RL enthusiast. We talk about a fascinating paper from the 2018 Sloan Sports Analytics Conference. The main idea is that by modeling each possession as a Markov Decision Process, it becomes easy to build a simulator that can help us answer questions like "How much more efficient would a team be if they took 20% fewer midrange shots early in the shot clock?"
The paper: http://www.lukebornn.com/papers/sandholtz_ssac_2018.pdf
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