Daniel Faissol

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 5

Top Topics

Markov Decision Process

Reinforcement Learning

Top Venues

Publications

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 Faissol
Reinforcement Learning for Adaptive Mesh Refinement. CoRR (2021)
Mikel Landajuela Larma, Brenden K. Petersen, Sookyung Kim, Cláudio P. Santiago, Ruben Glatt, T. Nathan Mundhenk, Jacob F. Pettit, Daniel Faissol
Discovering symbolic policies with deep reinforcement learning. ICML (2021)
Jiachen Yang, Brenden K. Petersen, Hongyuan Zha, Daniel Faissol
Single Episode Policy Transfer in Reinforcement Learning. ICLR (2020)
Jiachen Yang, Brenden K. Petersen, Hongyuan Zha, Daniel Faissol
Single Episode Policy Transfer in Reinforcement Learning. CoRR (2019)
Richard Wheeler, Daniel Faissol, Claudio Santiago, Thomas Baginski, Karl Nelson
Physics and optimal routing for urban radiation source search. MFI (2016)
Kevin S. Ni, Daniel Faissol, Thomas Edmunds, Richard Wheeler
Exploitation of Ambiguous Cues to Infer Terrorist Activity. Decis. Anal. 10 (1) (2013)