In this paper, we present a method, which can partially alleviate this problem, by improving neural PDE solver sample complexity -- Lie point symmetry data augmentation (LPSDA).
Including covariant information, such as position, force, velocity or spin is important in many tasks in computational physics and chemistry.
The abundance of data has given machine learning considerable momentum in natural sciences and engineering.
Recently, the application of machine learning models has gained momentum in natural sciences and engineering, which is a natural fit due to the abundance of data in these fields.
We prove under commonly used assumptions the convergence of actor-critic reinforcement learning algorithms, which simultaneously learn a policy function, the actor, and a value function, the critic.
On the few-shot datasets miniImagenet and tieredImagenet with small domain shifts, CHEF is competitive with state-of-the-art methods.
Align-RUDDER outperforms competitors on complex artificial tasks with delayed reward and few demonstrations.
2 code implementations • • Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Thomas Adler, Lukas Gruber, Markus Holzleitner, Milena Pavlović, Geir Kjetil Sandve, Victor Greiff, David Kreil, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
The new update rule is equivalent to the attention mechanism used in transformers.
1 code implementation • • Michael Widrich, Bernhard Schäfl, Hubert Ramsauer, Milena Pavlović, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer
We show that the attention mechanism of transformer architectures is actually the update rule of modern Hopfield networks that can store exponentially many patterns.
Climate change affects occurrences of floods and droughts worldwide.
In this work, we show that machine learning models can provide significant improvement over random search.
We propose a GAN based approach to solve inverse problems which have non-differential or non-continuous forward relations.
In MDPs the Q-values are equal to the expected immediate reward plus the expected future rewards.
Ranked #7 on Atari Games on Atari 2600 Bowling