Computer ScienceMedicine

Human-level control through deep reinforcement learning

Volodymyr Mnih, K. Kavukcuoglu, David Silver, Andrei A. Rusu, J. Veness, Marc G. Bellemare, Alex Graves, Martin A. Riedmiller, A. Fidjeland, Georg Ostrovski, Stig Petersen, Charlie Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, D. Kumaran, Daan Wierstra, S. Legg, D. Hassabis

2015.2.25NATURE

DOI: 10.1038/nature14236

tlooto Summary

This work bridges the divide between high-dimensional sensory inputs and actions, resulting in the first artificial agent that is capable of learning to excel at a diverse array of challenging tasks.

Abstract

Abstract is not available.

Citation format

MNIH, Volodymyr, et al. Human-level control through deep reinforcement learning. NATURE, 2015, 518: 529–533.