December 18, 2017 preprint Open access Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning arXiv (Cornell University) DOI: 10.48550/arxiv.1712.06567 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 533 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches. 2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access 12 citations Evolving Virtual Embodied Agents Using External Artifact Evaluations 2021 Communications in computer and information science conference-paper Computer Science Evolutionary Algorithms and Applications 0 citations 2 results References 0