Mikel Landajuela Larma

Publication Activity (10 Years)

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

Top Topics

Reinforcement Learning

Mathematical Knowledge

Parametric Optimization

Top Venues

Publications

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)
Joanne Taery Kim, Mikel Landajuela Larma, Brenden K. Petersen
Distilling Wikipedia mathematical knowledge into neural network models. CoRR (2021)
Brenden K. Petersen, Mikel Landajuela Larma, T. Nathan Mundhenk, Cláudio Prata Santiago, Sookyung Kim, Joanne Taery Kim
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients. ICLR (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, Cláudio P. Santiago, Mikel Landajuela Larma
Incorporating domain knowledge into neural-guided search. CoRR (2021)