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18 results on '"Stanley, Kenneth O."'

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1. Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures

2. Evolution through Large Models

3. Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods

4. Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity

5. Learning to Continually Learn

6. Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search

7. Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions

8. Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

9. Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

10. Go-Explore: a New Approach for Hard-Exploration Problems

11. Differentiable plasticity: training plastic neural networks with backpropagation

12. Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

13. Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents

14. On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent

15. Fitted Learning: Models with Awareness of their Limits

16. Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation

17. A Proposed Infrastructure for Adding Online Interaction to Any Evolutionary Domain

18. Exploring Promising Stepping Stones by Combining Novelty Search with Interactive Evolution

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