Faissol, Daniel

7 publications

NeurIPSW 2024 Antibody Library Design by Seeding Linear Programming with Inverse Folding and Protein Language Models Conor F. Hayes, Andre R Goncalves, Steven Alan Magana-Zook, Ahmet Can Solak, Daniel Faissol, Mikel Landajuela

NeurIPSW 2024 Computational Antigen Optimization Through Symbolic Optimization and Affinity Maturation Simulation Jonathan G. Faris, Mikel Landajuela, Kayla G. Sprenger, Daniel Faissol, Felipe Leno da Silva

ICMLW 2024 Generative Design of Decision Tree Policies for Reinforcement Learning Jacob Pettit, Chak Shing Lee, Jiachen Yang, Alex Ho, Daniel Faissol, Brenden K. Petersen, Mikel Landajuela

AISTATS 2023 Reinforcement Learning for Adaptive Mesh Refinement Jiachen Yang, Tarik Dzanic, Brenden Petersen, Jun Kudo, Ketan Mittal, Vladimir Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio Kolev, Robert Anderson, Daniel Faissol

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

ICLR 2020 Single Episode Policy Transfer in Reinforcement Learning Jiachen Yang, Brenden Petersen, Hongyuan Zha, Daniel Faissol