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Actor-Critic algorithms have been increasingly researched for tackling challenging reinforcement learning problems. These algorithms are usually composed of two distinct learning processes, namely actor (a.k.a, policy) learning and critic (a.k.a, value function) learning. Actor learning is heavily dependent on critic learning; particularly unreliable critic learning due to its divergence can significantly...
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