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A question on AI Stack Exchange asks why policy gradient methods are popular in reinforcement learning when a dual linear programming formulation in terms of occupation measures can be solved easily.
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“Why are policy gradient methods popular in reinforcement learning when there exists a dual LP formulation in terms of occupation measures that can be solved easily?”
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