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16 results on '"Lehman, Joel"'

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1. Language Model Crossover: Variation through Few-Shot Prompting

2. Machine Love

3. Evolution through Large Models

4. Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop

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. Towards Empathic Deep Q-Learning

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

11. Learning Belief Representations for Imitation Learning in POMDPs

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

13. An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

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

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

16. Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior

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