6
votes
Accepted
What is curriculum learning in reinforcement learning?
Curriculum learning is a general technique for deep learning, which got recently applied to also deep reinforcement learning.
It's about designing tasks to guide the learning process of the network ...
- 2,443
5
votes
What is curriculum learning in reinforcement learning?
Curriculum learning is a training strategy in the context of DRL and other machine learning methods that involves organizing the learning process in a way that gradually increases the complexity of ...
3
votes
Accepted
What is the impact of the initialization of weights in the performance of a neural network in machine learning?
Progress about how to best initialize the weights, is what has made neural networks to be popular again.
Initially (around the 80s I think), NNs were initialized from Normal distributions like $\...
- 2,443
2
votes
Applicability of Holland's Schema Theorem to Genetic Algorithms with Non-Binary Individual Representations
It's been a while since I've been active in the research community, and it's possible that this is a controversial opinion, but I suspect it's still true that the Schema Theorem is not really used ...
- 611
1
vote
What is the impact of the initialization of weights in the performance of a neural network in machine learning?
Weight initialization can and often does matter, hence why pre-training language models are useful for downstream tasks.
A randomly initialized model is not guaranteed to converge, especially if the ...
- 31
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