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Bio
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DPhil student at University of Oxford, studying (deep) reinforcement learning.
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Greg Farquhar
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Greg Farquhar Bio | Greg Farquhar Greg Farquhar DPhil student at University of Oxford, studying (deep) reinforcement learning. Scholar | Twitter | CV Bio I am a DPhil student at the University of Oxford under the supervision of Shimon Whiteson . Previously, I obtained a Masters in Physics (1 st class honours) from the University of Oxford. I am a former intern of NASA JPL and Facebook AI Research . My research is about learning optimal sequential decision making from data, primarily in the framework of reinforcement learning (RL). Key areas of focus include cooperative multi-agent RL, learning to plan, curriculum learning, and (any-order) gradient estimation. Publications Recent highlights Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning. NeurIPS 2019. [ paper , code ] Low-variance estimators of any-order derivatives for RL, with advantage estimation and more. TreeQN and ATreeC: Differen...
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