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Skip to Search Results- 2Continual Learning
- 2Lifelong Learning
- 1Artificial Intelligence
- 1Artificial Neural Networks
- 1Catastrophic Forgetting
- 1Machine Learning
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Fall 2024
If we aspire to design algorithms that can run for long periods, continually adapting to new, unexpected situations, then we must be willing to deploy our agents without tuning their hyperparameters over the agent’s entire lifetime. The standard practice in deep RL—and even continual RL—is to...
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Fall 2020
This thesis is offered as a step forward in our understanding of forgetting in artificial neural networks. ANNs are a learning system loosely based on our understanding of the brain and are responsible for recent breakthroughs in artificial intelligence. However, they have been reported to be...