Glatt, Ruben

6 publications

NeurIPS 2022 A Unified Framework for Deep Symbolic Regression Mikel Landajuela, Chak Shing Lee, Jiachen Yang, Ruben Glatt, Claudio P Santiago, Ignacio Aravena, Terrell Mundhenk, Garrett Mulcahy, Brenden K Petersen

ICML 2021 Discovering Symbolic Policies with Deep Reinforcement Learning Mikel Landajuela, Brenden K Petersen, Sookyung Kim, Claudio P Santiago, Ruben Glatt, Nathan Mundhenk, Jacob F Pettit, Daniel Faissol

NeurIPS 2021 Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding Terrell Mundhenk, Mikel Landajuela, Ruben Glatt, Claudio P Santiago, Daniel Faissol, Brenden K Petersen

AAAI 2017 An Advising Framework for Multiagent Reinforcement Learning Systems Felipe Leno da Silva, Ruben Glatt, Anna Helena Reali Costa

AAAI 2017 Improving Deep Reinforcement Learning with Knowledge Transfer Ruben Glatt, Anna Helena Reali Costa

AAAI 2017 Policy Reuse in Deep Reinforcement Learning Ruben Glatt, Anna Helena Reali Costa