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Daniel M. Faissol
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 8
Top Topics
Reinforcement Learning
Genetic Programming
Symbolic Regression
Robocup Soccer
Top Venues
CoRR
J. Comput. Biol.
AAMAS
NeurIPS
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Publications
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Jiachen Yang
,
Tarik Dzanic
,
Brenden K. Petersen
,
Jun Kudo
,
Ketan Mittal
,
Vladimir Z. Tomov
,
Jean-Sylvain Camier
,
Tuo Zhao
,
Hongyuan Zha
,
Tzanio V. Kolev
,
Robert W. Anderson
,
Daniel M. Faissol
Reinforcement Learning for Adaptive Mesh Refinement.
AISTATS
(2023)
Jiachen Yang
,
Ketan Mittal
,
Tarik Dzanic
,
Socratis Petrides
,
Brendan Keith
,
Brenden K. Petersen
,
Daniel M. Faissol
,
Robert W. Anderson
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement.
AAMAS
(2023)
Jiachen Yang
,
Ketan Mittal
,
Tarik Dzanic
,
Socratis Petrides
,
Brendan Keith
,
Brenden K. Petersen
,
Daniel M. Faissol
,
Robert W. Anderson
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement.
CoRR
(2022)
T. Nathan Mundhenk
,
Mikel Landajuela
,
Ruben Glatt
,
Cláudio P. Santiago
,
Daniel M. Faissol
,
Brenden K. Petersen
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding.
CoRR
(2021)
T. Nathan Mundhenk
,
Mikel Landajuela
,
Ruben Glatt
,
Cláudio P. Santiago
,
Daniel M. Faissol
,
Brenden K. Petersen
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding.
NeurIPS
(2021)
Mikel Landajuela Larma
,
Brenden K. Petersen
,
Soo K. Kim
,
Cláudio P. Santiago
,
Ruben Glatt
,
T. Nathan Mundhenk
,
Jacob F. Pettit
,
Daniel M. Faissol
Improving exploration in policy gradient search: Application to symbolic optimization.
CoRR
(2021)
Brenden K. Petersen
,
Jiachen Yang
,
Will S. Grathwohl
,
Chase Cockrell
,
Claudio Santiago
,
Gary An
,
Daniel M. Faissol
Deep Reinforcement Learning and Simulation as a Path Toward Precision Medicine.
J. Comput. Biol.
26 (6) (2019)
Brenden K. Petersen
,
Jiachen Yang
,
Will S. Grathwohl
,
Chase Cockrell
,
Claudio Santiago
,
Gary An
,
Daniel M. Faissol
Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis.
CoRR
(2018)