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'''Edward Lockhart''',<br/>
a British computer scientist and reaearch engineer at [[DeepMind]] and head of its AI components. He holds a MA in mathematics from [https://en.wikipedia.org/wiki/University_of_Cambridge University of Cambridge] in 1996 <ref>[https://www.linkedin.com/in/edward-lockhart-938a6141/?originalSubdomain=uk Edward Lockhart | LinkedIn]</ref>.
His current research focus is on [https://en.wikipedia.org/wiki/Sampling_%28statistics%29 sampling] algorithms for [https://en.wikipedia.org/wiki/Computable_general_equilibrium equilibrium computation] and [https://en.wikipedia.org/wiki/Decision-making decision-making].
Edward Lockhart contributed to various [[Reinforcement Learning|reinforcement learning]] projects, such as [[Reinforcement Learning#OpenSpiel|OpenSpiel]] and [[MuZero]] <ref>[https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules?fbclid=IwAR3mSwrn1YXDKr9uuGm2GlFKh76wBilex7f8QvBiQecwiVmAvD6Bkyjx-rE MuZero: Mastering Go, chess, shogi and Atari without rules]</ref>.
