Linking pages
Linked pages
- [1712.06567] Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning https://arxiv.org/abs/1712.06567 47 comments
- [1803.03453] The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities https://arxiv.org/abs/1803.03453 37 comments
- [1509.02971] Continuous control with deep reinforcement learning https://arxiv.org/abs/1509.02971 15 comments
- [1703.03864] Evolution Strategies as a Scalable Alternative to Reinforcement Learning https://arxiv.org/abs/1703.03864 12 comments
- [1611.02779] RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning https://arxiv.org/abs/1611.02779 9 comments
- [1611.05763] Learning to reinforcement learn https://arxiv.org/abs/1611.05763 9 comments
- [1703.00548] Evolving Deep Neural Networks https://arxiv.org/abs/1703.00548 6 comments
- [1701.08734] PathNet: Evolution Channels Gradient Descent in Super Neural Networks https://arxiv.org/abs/1701.08734.pdf 6 comments
- [1803.07055] Simple random search provides a competitive approach to reinforcement learning https://arxiv.org/abs/1803.07055 4 comments
- https://arxiv.org/abs/1707.06347 3 comments
- [1802.01548] Regularized Evolution for Image Classifier Architecture Search https://arxiv.org/abs/1802.01548 0 comments
- Open-endedness: The last grand challenge youâve never heard of â OâReilly https://www.oreilly.com/ideas/open-endedness-the-last-grand-challenge-youve-never-heard-of 0 comments
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