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Combination of reinforcement learning with evolution for automatically obtaining robot neural controllers.

, , , , и . IEEE Congress on Evolutionary Computation, стр. 119-126. IEEE, (2013)

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José Reyes Velásquez

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José Vicente Santos Mendes

 

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NETTOOL: A Hybrid Connectionist-Symbolic Development Environment., , и . IWANN, том 930 из Lecture Notes in Computer Science, стр. 658-665. Springer, (1995)Automatic Topological Active Net Division in a Genetic-Greedy Hybrid Approach., , , и . IbPRIA (2), том 4478 из Lecture Notes in Computer Science, стр. 226-233. Springer, (2007)Using Temporal Information in ANNs for the Implementation of Autonomous Robot Controllers., , и . IWANN (2), том 1607 из Lecture Notes in Computer Science, стр. 540-547. Springer, (1999)Emergent Segmentation of Topological Active Nets by Means of Evolutionary Obtained Artificial Neural Networks., , , и . ICAART (2), стр. 44-50. SciTePress, (2013)Evolution of Amino Acid Properties in the Context of Protein Secondary Structure Prediction., и . CEC, стр. 426-433. IEEE, (2021)Genetic Approaches for the Automatic Division of Topological Active Volumes., , , и . IWINAC (2), том 5602 из Lecture Notes in Computer Science, стр. 20-29. Springer, (2009)Topological Active Nets Optimization Using Genetic Algorithms., , , и . ICIAR (1), том 4141 из Lecture Notes in Computer Science, стр. 272-282. Springer, (2006)Capabilities of Approaches for Ab Initio Protein Structure Prediction., и . XoveTIC, том 14 из Kalpa Publications in Computing, стр. 21-23. EasyChair, (2022)Energy Minimization vs. Deep Learning Approaches for Protein Structure Prediction., , и . IWINAC (1), том 13259 из Lecture Notes in Computer Science, стр. 109-118. Springer, (2022)Training Higher Order Gaussian Synapses., , и . IWANN (1), том 1606 из Lecture Notes in Computer Science, стр. 537-545. Springer, (1999)