Adversarially Guided Actor-Critic

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