94 citations · 150 across the 6 of their papers we have counts for
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cs.LG2018★ 94 cited
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting
Craig Atkinson, Brendan McCane, Lech Szymanski +1
Neural networks can achieve excellent results in a wide variety of applications. However, when they attempt to sequentially learn, they tend to learn the new task while catastrophi…
cs.LG2018★ 53 cited
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks
Craig Atkinson, Brendan McCane, Lech Szymanski +1
In general, neural networks are not currently capable of learning tasks in a sequential fashion. When a novel, unrelated task is learnt by a neural network, it substantially forget…