Pseudorehearsal in value function approximation

Vladimir Marochko; Leonard Johard; Manuel Mazzara

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arXiv · 1703.07075

Pseudorehearsal in value function approximation

Vladimir Marochko·Leonard Johard·Manuel Mazzara

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Abstract

Catastrophic forgetting is of special importance in reinforcement learning, as the data distribution is generally non-stationary over time. We study and compare several pseudorehearsal approaches for Q-learning with function approximation in a pole balancing task. We have found that pseudorehearsal seems to assist learning even in such very simple problems, given proper initialization of the rehearsal parameters.

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Vladimir Marochko, Leonard Johard, Manuel Mazzara. 2017-03-21. Pseudorehearsal in value function approximation. https://arxiv.org/abs/1703.07075

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