Pseudorehearsal in actor-critic agents with neural network function approximation

Vladimir Marochko; Leonard Johard; Manuel Mazzara; Luca Longo

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arXiv · 1712.07686

Pseudorehearsal in actor-critic agents with neural network function approximation

Vladimir Marochko·Leonard Johard·Manuel Mazzara·Luca Longo

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Abstract

Catastrophic forgetting has a significant negative impact in reinforcement learning. The purpose of this study is to investigate how pseudorehearsal can change performance of an actor-critic agent with neural-network function approximation. We tested agent in a pole balancing task and compared different pseudorehearsal approaches. We have found that pseudorehearsal can assist learning and decrease forgetting.

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Vladimir Marochko, Leonard Johard, Manuel Mazzara, Luca Longo. 2018-02-19. Pseudorehearsal in actor-critic agents with neural network function approximation. https://arxiv.org/abs/1712.07686

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