We explore an application to the game of Go of a reinforcement learning approach based on a linear evaluation function and large numbers of binary features. This strategy has prov...
Abstract. In this paper, we focus on MPI collective algorithm selection process and explore the applicability of the quadtree encoding method to this problem. During the algorithm ...
Jelena Pjesivac-Grbovic, George Bosilca, Graham E....
Fast retrieval methods are critical for large-scale and
data-driven vision applications. Recent work has explored
ways to embed high-dimensional features or complex distance
fun...
Cross-reactions and other systematic difficulties generated by the coupling of functional chemical subsystems pose the largest challenge for assembling a viable protocell in the la...
Harold Fellermann, Steen Rasmussen, Hans-Joachim Z...
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...