Adversarially Guided Actor-Critic

ICLR 2021, 2021.

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This paper introduced Adversarially Guided Actor-Critic, a modification to the traditional actor-critic framework: an adversary network is added to the policy gradient objective

Abstract:

Despite definite success in deep reinforcement learning problems, actor-critic algorithms are still confronted with sample inefficiency in complex environments. These methods consider a policy (the actor) and a value (the critic) whose respective losses are obtained using different motivations and approaches. We introduce a third protagon...More
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