Evolutionary Computation / Genetic Algorithms

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• Reinforcement Learning (RL)
  • Monte Carlo (MC) Method - Model Free Reinforcement Learning
  • Markov Decision Process (MDP)
  • State-Action-Reward-State-Action (SARSA)
  • Q Learning
    • Deep Q Network (DQN)
  • Deep Reinforcement Learning (DRL) DeepRL
  • Distributed Deep Reinforcement Learning (DDRL)
  • Evolutionary Computation / Genetic Algorithms
  • Actor Critic
    • Asynchronous Advantage Actor Critic (A3C)
    • Advanced Actor Critic (A2C)
    • Lifelong Latent Actor-Critic (LILAC)
  • Hierarchical Reinforcement Learning (HRL)

• Architectures
• TPOT - automates the building of ML AIOpspipelines by combining a flexible expression tree representation of AIOpspipelines 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)
• A Beginner's Guide to Genetic & Evolutionary Algorithms | Chris Nicholson - A.I. Wiki pathmind
• Feature Engineering and Selection: A Practical Approach for Predictive Models -12.3 Genetic Algorithms | Max Kuhn and Kjell Johnson

Nature

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Evolution of Mind

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