Carnegie Mellon Robotics Institute
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| Research Interests |
How the process of generating new candidate solutions in evolutionary search may evolve to become increasingly well-tuned to the target search space, particularly in the context of training of recurrent artificial neural networks to solve challenging reinforcement-learning-style problems. |
| Research Interest Keywords |
| artificial intelligence, computational neuroscience, genetic algorithms, machine learning |
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