Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting

Author:

Atkinson Craig,McCane Brendan,Szymanski Lech,Robins Anthony

Funder

Nvidia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. Human-level control through deep reinforcement learning;Mnih;Nature,2015

2. M. McCloskey, N.J. Cohen, Catastrophic interference in connectionist networks: The sequential learning problem, in: Psychology of Learning and Motivation, vol. 24, Elsevier, 1989, pp. 109–165.

3. Overcoming catastrophic forgetting in neural networks;Kirkpatrick;Proceedings of the National Academy of Sciences,2017

4. R.S. Sutton, A.G. Barto, Reinforcement learning: An introduction (2nd ed.), complete draft (2017).

5. D. Lopez-Paz, M. Ranzato, Gradient episodic memory for continual learning, in: Advances in Neural Information Processing Systems, Vol. 30, Curran Associates Inc, 2017, pp. 6467–6476.

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