Brenden K. Petersen

1. Symbolic Regression via Neural-Guided Genetic Programming Population Seeding
   2021/10/29 by T. Nathan Mundhenk, Mundhenk, T. Nathan, Mikel Landajuela +9 · 22 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
2. Reinforcement Learning for Adaptive Mesh Refinement
   2021/03/01 by Jiachen Yang, Yang, Jiachen, Tarik Dzanic +21 · 6 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Reinforcement Learning in Robotics
3. Single Episode Policy Transfer in Reinforcement Learning
   2019/10/17 by Jiachen Yang, Brenden K. Petersen, Yang, Jiachen +5 · 6 citations
   Computer Science · Engineering · #Adaptive Dynamic Programming Control #FOS: Computer and information sciences #Fuel Cells and Related Materials #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
4. Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics
   2025/05/16 by Conor Hayes, Felipe Leno da Silva, Hayes, Conor F. +33 · 1 voice · 1 citation
   Materials Science · Computer Science · #Machine Learning in Materials Science #Advanced Multi-Objective Optimization Algorithms #Evolutionary Algorithms and Applications
5. Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
   2022/11/02 by Jiachen Yang, Yang, Jiachen, Ketan Mittal +13 · 2 citations
   Engineering · #BIM and Construction Integration #Innovations in Concrete and Construction Materials