Recently, DeepMind collaborated with Columbia University to propose Taylor expansion Policy Optimisation (TayPO), which is a policy optimisation formalism that generalises methods like trust region policy optimisation (TRPO) and improves the performance of several state-of-the-art distributed algorithms. Policy optimisation is one of the main approaches for deriving reinforcement learning algorithms. It has several successful applications…

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