Fast deep reinforcement learning using online adjustments from the past

Steven Hansen, Pablo Sprechmann, Alexander Pritzel +2

We propose Ephemeral Value Adjusments (EVA): a means of allowing deep reinforcement learning agents to rapidly adapt to experience in their replay buffer. EVA shifts the value pred…