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Pseudorehearsal in actor-critic agents with neural network function approximation
lib:8488598371b7cd5c (v1.0.0)
Authors: Vladimir Marochko,Leonard Johard,Manuel Mazzara,Luca Longo
ArXiv: 1712.07686
Document: PDF DOI
Abstract URL: http://arxiv.org/abs/1712.07686v2
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.
ArXiv: 1712.07686
Document: PDF DOI
Abstract URL: http://arxiv.org/abs/1712.07686v2
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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