Building a Platform for AI Research at DeepMind By collaborating closely with researchers throughout the design and implementation of TF-Replicator, we were able to...

Carbon-free technologies like renewable energy help combat climate change, but many of them have not reached their full potential. Consider wind power: over...

AlphaStar and other complex problems While StarCraft is just a game, albeit a complex one, we think that the techniques behind AlphaStar could be...

Despite technology’s stubbornness in not giving us hoverboards, time travelling DeLoreans or pizza hydrators, there has been a lot that real life has...

Multi-task learning - allowing a single agent to learn how to solve many different tasks - is a longstanding objective for artificial intelligence...

Efficient Neural Audio SynthesisAuthors: Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Nouri, Norman Casagrande, Edward Lockhart, Sander Dieleman, Aaron van den Oord, Koray...

In fact, we found that the meta-RL agent could learn to quickly adapt in a wide domain of tasks with different rules and...

Maximum a posteriori policy optimisationAuthors: Abbas Abdolmaleki, Jost Tobias Springenberg, Nicolas Heess, Yuval Tassa, Remi MunosWe introduce a new algorithm for reinforcement learning...

Learning navigation without building maps We depart from the traditional approaches which rely on explicit mapping and exploration (like a cartographer who tries to...

A simple neural network module for relational reasoning Authors: Adam Santoro, David Raposo, David Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, Timothy Lillicrap “We demonstrate...

Neural networks have shown great success in everything from playing Go and Atari games to image recognition and language translation. But often overlooked...

It is able to do this by using a novel form of reinforcement learning, in which AlphaGo Zero becomes its own teacher. The...