Difference between revisions of "Evolutionary Computation / Genetic Algorithms"
| Line 17: | Line 17: | ||
* [http://medium.com/@moocaholic/2017-the-year-of-neuroevolution-30e59ae8fe18 2017: The Year of Neuroevolution | Grigory Sapunov] | * [http://medium.com/@moocaholic/2017-the-year-of-neuroevolution-30e59ae8fe18 2017: The Year of Neuroevolution | Grigory Sapunov] | ||
* [[Other Challenges]] in Artificial Intelligence | * [[Other Challenges]] in Artificial Intelligence | ||
| + | * [[Reinforcement Learning (RL)]] | ||
Revision as of 16:15, 1 September 2019
Youtube search... ...Google search
- Architectures
- TPOT - automates the building of ML pipelines by combining a flexible expression tree representation of pipelines with stochastic search algorithms such as genetic programming.
- Neural Architecture Search (NAS) with Evolution | Wikipedia
- ACM Special Interest Group on Genetic and Evolutionary Computation (SIGEVO)
- Publication - Evolving Artificial Intelligence Laboratory | University of Wyoming
- NeuroEvolution of Augmenting Topologies (NEAT)
- Topology and Weight Evolving Artificial Neural Network (TWEANN)
- 2017: The Year of Neuroevolution | Grigory Sapunov
- Other Challenges in Artificial Intelligence
- Reinforcement Learning (RL)
Nature
Evolution of Mind
