Results for "Demis Hassabis"

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Approximate Hubel-Wiesel Modules and the Data Structures of Neural ComputationDec 28 2015This paper describes a framework for modeling the interface between perception and memory on the algorithmic level of analysis. It is consistent with phenomena associated with many different brain regions. These include view-dependence (and invariance) ... More
Model-Free Episodic ControlJun 14 2016State of the art deep reinforcement learning algorithms take many millions of interactions to attain human-level performance. Humans, on the other hand, can very quickly exploit highly rewarding nuances of an environment upon first discovery. In the brain, ... More
Learning and Querying Fast Generative Models for Reinforcement LearningFeb 08 2018A key challenge in model-based reinforcement learning (RL) is to synthesize computationally efficient and accurate environment models. We show that carefully designed generative models that learn and operate on compact state representations, so-called ... More
Grounded Language Learning in a Simulated 3D WorldJun 20 2017Jun 26 2017We are increasingly surrounded by artificially intelligent technology that takes decisions and executes actions on our behalf. This creates a pressing need for general means to communicate with, instruct and guide artificial agents, with human language ... More
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning AgentsJan 24 2018Feb 04 2018Psychlab is a simulated psychology laboratory inside the first-person 3D game world of DeepMind Lab (Beattie et al. 2016). Psychlab enables implementations of classical laboratory psychological experiments so that they work with both human and artificial ... More
Overcoming catastrophic forgetting in neural networksDec 02 2016The ability to learn tasks in a sequential fashion is crucial to the development of artificial intelligence. Neural networks are not, in general, capable of this and it has been widely thought that catastrophic forgetting is an inevitable feature of connectionist ... More
Parallel WaveNet: Fast High-Fidelity Speech SynthesisNov 28 2017The recently-developed WaveNet architecture is the current state of the art in realistic speech synthesis, consistently rated as more natural sounding for many different languages than any previous system. However, because WaveNet relies on sequential ... More
Distribution Of Sequences Generated By Certain Simply-Constructed Normal NumbersNov 04 2015In 1949 Wall showed that $x = 0.d_1d_2d_3 \dots$ is normal if and only if $(0.d_nd_{n+1}d_{n+2} \dots)_n$ is a uniformly distributed sequence. In this article, we consider sequences which are slight variants on this. In particular, we show that certain ... More
Dynamic Backward Slicing of Rewriting Logic ComputationsMay 13 2011Jun 06 2011Trace slicing is a widely used technique for execution trace analysis that is effectively used in program debugging, analysis and comprehension. In this paper, we present a backward trace slicing technique that can be used for the analysis of Rewriting ... More
Debugging of Web Applications with Web-TLRAug 11 2011Web-TLR is a Web verification engine that is based on the well-established Rewriting Logic--Maude/LTLR tandem for Web system specification and model-checking. In Web-TLR, Web applications are expressed as rewrite theories that can be formally verified ... More