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...

Getting children (and adults) to tidy up after themselves can be a challenge, but we face an even greater challenge trying to get...

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...

This approach combines the strengths of two algorithms that are already well known in reinforcement learning and are also believed to exist in...

DARLA: Improving Zero-Shot Transfer in Reinforcement LearningAuthors: Irina Higgins*, Arka Pal*, Andrei Rusu, Loic Matthey, Chris Burgess, Alexander Pritzel, Matt Botvinick, Charles Blundell,...

Neural Episodic ControlAuthors: Alex Pritzel, Benigno Uria, Sriram Srinivasan, Adria Puigdomenech, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles BlundellDeep reinforcement learning algorithms have...

Another key challenge in contemporary AI research is known as transfer learning. To be able to deal effectively with novel situations, artificial agents...

Consider the commuter who toils backwards and forwards each day on a train. Most mornings, her train runs on time and she reaches...

Here's what others have to say about DeepMind Alberta:Rich Sutton:"DeepMind has had a special emphasis on reinforcement learning right from the beginning, and...