Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning

24 Jul 2019Bilal KartalPablo Hernandez-LealMatthew E. Taylor

Deep reinforcement learning has achieved great successes in recent years, but there are still open challenges, such as convergence to locally optimal policies and sample inefficiency. In this paper, we contribute a novel self-supervised auxiliary task, i.e., Terminal Prediction (TP), estimating temporal closeness to terminal states for episodic tasks... (read more)

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