TensorFlow London: Practical Reinforcement Learning with OpenAI
Speaker: Leonardo De Marchi, Lead Data Scientist in Badoo
Abstract: Reinforcement Learning recently progressed as one of the best techniques for sequential decision making and control policies in the industry. DeepMind used RL to greatly reduce energy consumption in Google's data center. It is used to do text summarisation, autonomous driving, dialog systems, media advertisement and in finance by JPMorgan Chase. In this talk, Leonardo will present some of OpenAI research, including OpenAi’s Gym and some algorithms like Proximal Policy Optimization (PPO).
Bio: Leonardo De Marchi holds a Master in Artificial intelligence and has worked as a Data Scientist in the sports world, with clients such as New York Knicks and Manchester United, and with large social networks, like Justgiving. He now works as Lead Data Scientist in Badoo
Speaker: Leonardo De Marchi, Lead Data Scientist in Badoo
Abstract: Reinforcement Learning recently progressed as one of the best techniques for sequential decision making and control policies in the industry. DeepMind used RL to greatly reduce energy consumption in Google’s data center. It is used to do text summarisation, autonomous driving, dialog systems, media advertisement and in finance by JPMorgan Chase. In this talk, Leonardo will present some of OpenAI research, including OpenAi’s Gym and some algorithms like Proximal Policy Optimization (PPO).
Bio: Leonardo De Marchi holds a Master in Artificial intelligence and has worked as a Data Scientist in the sports world, with clients such as New York Knicks and Manchester United, and with large social networks, like Justgiving. He now works as Lead Data Scientist in Badoo
