Multi-task learning with deep model based reinforcement learning. - Asier Mujika (CoRR, 2016)

Fast-Slow Recurrent Neural Networks. - Asier Mujika; Florian Meier 002; Angelika Steger (NIPS, 2017)

The linear hidden subset problem for the (1 + 1) EA with scheduled and adaptive mutation rates. - Hafsteinn Einarsson; Johannes Lengler; Marcelo Matheus Gauy; Florian Meier 002; Asier Mujika; Angelika Steger; Felix Weissenberger (GECCO, 2018)

Approximating Real-Time Recurrent Learning with Random Kronecker Factors. - Asier Mujika; Florian Meier 002; Angelika Steger (NeurIPS, 2018)

Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning. - Frederik Benzing; Marcelo Matheus Gauy; Asier Mujika; Anders Martinsson; Angelika Steger (ICML, 2019)

Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses. - Asier Mujika; Felix Weissenberger; Angelika Steger (CoRR, 2019)

Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions. - Florian Meier 002; Asier Mujika; Marcelo Matheus Gauy; Angelika Steger (CoRR, 2019)

The linear hidden subset problem for the (1 + 1) EA with scheduled and adaptive mutation rates. - Hafsteinn Einarsson; Marcelo Matheus Gauy; Johannes Lengler; Florian Meier 002; Asier Mujika; Angelika Steger; Felix Weissenberger (Theor. Comput. Sci., 2019)

Open-Ended Reinforcement Learning with Neural Reward Functions. - Robert Meier; Asier Mujika (NeurIPS, 2022)

Online learning of long-range dependencies. - Nicolas Zucchet; Robert Meier; Simon Schug; Asier Mujika; João Sacramento (NeurIPS, 2023)

Hierarchical Attention Encoder Decoder. - Asier Mujika (CoRR, 2023)

Harnessing Temporal Information: Methods for Long-term Dependency Learning in Autoregressive Models. - Asier Mujika (2023)