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Found 4 papers, 2 papers with code
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions
Reinforcement learning (RL) algorithms have proven transformative in a range of domains.
Maslow's Hammer for Catastrophic Forgetting: Node Re-Use vs Node Activation
Continual learning - learning new tasks in sequence while maintaining performance on old tasks - remains particularly challenging for artificial neural networks.
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
Using each teacher to represent a different task, we investigate how the relationship between teachers affects the amount of forgetting and transfer exhibited by the student when the task switches.
Fast and Memory-Efficient Neural Code Completion
Code completion is one of the most widely used features of modern integrated development environments (IDEs).
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