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

, , , , and . IEEE Congress on Evolutionary Computation, page 119-126. IEEE, (2013)

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Emergent Segmentation of Topological Active Nets by Means of Evolutionary Obtained Artificial Neural Networks., , , and . ICAART (2), page 44-50. SciTePress, (2013)Topological Active Nets Optimization Using Genetic Algorithms., , , and . ICIAR (1), volume 4141 of Lecture Notes in Computer Science, page 272-282. Springer, (2006)NETTOOL: A Hybrid Connectionist-Symbolic Development Environment., , and . IWANN, volume 930 of Lecture Notes in Computer Science, page 658-665. Springer, (1995)Automatic Topological Active Net Division in a Genetic-Greedy Hybrid Approach., , , and . IbPRIA (2), volume 4478 of Lecture Notes in Computer Science, page 226-233. Springer, (2007)Using Temporal Information in ANNs for the Implementation of Autonomous Robot Controllers., , and . IWANN (2), volume 1607 of Lecture Notes in Computer Science, page 540-547. Springer, (1999)Energy Minimization vs. Deep Learning Approaches for Protein Structure Prediction., , and . IWINAC (1), volume 13259 of Lecture Notes in Computer Science, page 109-118. Springer, (2022)Genetic Approaches for the Automatic Division of Topological Active Volumes., , , and . IWINAC (2), volume 5602 of Lecture Notes in Computer Science, page 20-29. Springer, (2009)Evolution of Amino Acid Properties in the Context of Protein Secondary Structure Prediction., and . CEC, page 426-433. IEEE, (2021)Capabilities of Approaches for Ab Initio Protein Structure Prediction., and . XoveTIC, volume 14 of Kalpa Publications in Computing, page 21-23. EasyChair, (2022)Knowledge Refinement of an Expert System Using a Symbolic-Connectionist Approach., , , , and . AIME, volume 1211 of Lecture Notes in Computer Science, page 517-520. Springer, (1997)