DeepMind & AlphaGo | Deep Learning Research | Swift For Tensorflow | Interview with Dr. Marc Lanctot

Newsletter: https://tinyletter.com/sanyambhutani Personal Note: I'm really honored to share this conversation. I really hope you enjoy listening to it as much as I enjoyed talking to Dr. Marc Lanctot. In this Episode, Sanyam Bhutani interviews Dr. Marc Lactot, a Research Scientist at DeepMind. In this interview, they talk all about Research at DeepMind, Deep Learning Research, AlphaGo. They also talk all about Swift For Tensorflow and OpenSpiel. Dr. Marc Lanctot is a research scientist at Google DeepMind. Previously, he was a post-doctoral researcher at the Maastricht University Games and AI Group, working with Mark Winands. During his PhD, Marc worked on sampling algorithms for equilibrium computation and decision-making in games. His research interests include in general multiagent learning (and planning), computational game theory, reinforcement learning, and game-tree search. Open Spiel: https://deepmind.com/research/open-source/openspiel Interview with Machine Learning Hero Series: https://medium.com/dsnet/interviews-with-machine-learning-heroes-ad9358385278  Links from the podcast:  - Commodore 64: https://en.wikipedia.org/wiki/Commodore_64 - Intellivision (early console!): https://en.wikipedia.org/wiki/Intellivision - AD&D Treasure of Tarmin (Intellivision game with 3D perspective-- pretty advanced for its time!): https://en.wikipedia.org/wiki/Advanced_Dungeons_%26_Dragons:_Treasure_of_Tarmin - Montezuma's revenge: https://en.wikipedia.org/wiki/Montezuma%27s_Revenge_(video_game) Follow: Dr. Marc Lanctot https://twitter.com/sharky6000 http://mlanctot.info/ https://www.linkedin.com/in/marc-lanctot-a1619095/?originalSubdomain=ca Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

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