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Ruben Glatt

Symbolic Regression via Neural-Guided Genetic Programming Population Seeding



T. Nathan Mundhenk , Mikel Landajuela , Ruben Glatt , Claudio P. Santiago , Daniel M. Faissol , Brenden K. Petersen

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* Accepted at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 
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Improving exploration in policy gradient search: Application to symbolic optimization



Mikel Landajuela Larma , Brenden K. Petersen , Soo K. Kim , Claudio P. Santiago , Ruben Glatt , T. Nathan Mundhenk , Jacob F. Pettit , Daniel M. Faissol

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* 1st Mathematical Reasoning in General Artificial Intelligence Workshop, ICLR 2021 
 * Published in 1st Mathematical Reasoning in General Artificial Intelligence Workshop, ICLR 2021 
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Hybrid Information-driven Multi-agent Reinforcement Learning



William A. Dawson , Ruben Glatt , Edward Rusu , Braden C. Soper , Ryan A. Goldhahn

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* Published at Workshop on Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL AAAI 2021). This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract DE-AC52-07NA27344. Lawrence Livermore National Security, LLC through the support of LDRD 20-SI-005. LLNL-CONF-816423 
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