Mitigating Catastrophic Forgetting in Temporal Difference Learning with Function Approximation

By Benjamin Goodrich, Itamar Arel. 2015

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Heechul Jung
2. Jeongwoo Ju
3. Minju Jung
4. Junmo Kim
5. Benjamin Goodrich
6. Marc Masana
7. Fei Ye
8. Jiangpeng He

Citations in the corpus

• Less-forgetting Learning in Deep Neural Networks (2016, methodology): “al extended this method to a recurrent neural network [13].”
• Less-forgetful Learning for Domain Expansion in Deep Neural Networks (2017, methodology): “Goodrich et al. extended this method to a recurrent neural network (Goodrich and Arel 2015).”
• Neuron Clustering for Mitigating Catastrophic Forgetting in Supervised and Reinforcement Learning (2015, methodology): “The main approach proposed in this dissertation, dubbed ”cluster-select” [49] [50] [51], essentially modifies the standard feedforward network model by proposing an unsupervised learning component.”