Deterministic Policy Gradients With General State Transitions

10 Jul 2018Qingpeng CaiLing PanPingzhong Tang

We study a reinforcement learning setting, where the state transition function is a convex combination of a stochastic continuous function and a deterministic function. Such a setting generalizes the widely-studied stochastic state transition setting, namely the setting of deterministic policy gradient (DPG)... (read more)

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