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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.
V. Marochko, L. Johard, M. Mazzara and L. Longo. Pseudorehearsal in Actor-Critic Agents with Neural Network Function Approximation 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), 2018, pp. 644-650, doi: 10.1109/AINA.2018.00099.