Atari games and Intel processors

no code implementations • 19 May 2017 • Robert Adamski, Tomasz Grel, Maciej Klimek, Henryk Michalewski

The asynchronous nature of the state-of-the-art reinforcement learning algorithms such as the Asynchronous Advantage Actor-Critic algorithm, makes them exceptionally suitable for CPU computations.

Atari Games BIG-bench Machine Learning +3

Improved GQ-CNN: Deep Learning Model for Planning Robust Grasps

no code implementations • 16 Feb 2018 • Maciej Jaśkowski, Jakub Świątkowski, Michał Zając, Maciej Klimek, Jarek Potiuk, Piotr Rybicki, Piotr Polatowski, Przemysław Walczyk, Kacper Nowicki, Marek Cygan

In this work we improve on one of the most promising approaches, the Grasp Quality Convolutional Neural Network (GQ-CNN) trained on the DexNet 2. 0 dataset.

Uncertainty - sensitive learning and planning with ensembles

1 code implementation • 25 Sep 2019 • Piotr Miłoś, Łukasz Kuciński, Konrad Czechowski, Piotr Kozakowski, Maciej Klimek

Notably, our method performs well in environments with sparse rewards where standard $TD(1)$ backups fail.

Montezuma's Revenge