Search Results for author: Andrew Lefrancq

Found 3 papers, 3 papers with code

DeepMind Control Suite

8 code implementations • 2 Jan 2018 • Yuval Tassa, Yotam Doron, Alistair Muldal, Tom Erez, Yazhe Li, Diego de Las Casas, David Budden, Abbas Abdolmaleki, Josh Merel, Andrew Lefrancq, Timothy Lillicrap, Martin Riedmiller

The DeepMind Control Suite is a set of continuous control tasks with a standardised structure and interpretable rewards, intended to serve as performance benchmarks for reinforcement learning agents.

Continuous Control reinforcement-learning +1

3,723

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Code

AI Safety Gridworlds

2 code implementations • 27 Nov 2017 • Jan Leike, Miljan Martic, Victoria Krakovna, Pedro A. Ortega, Tom Everitt, Andrew Lefrancq, Laurent Orseau, Shane Legg

We present a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.

reinforcement-learning Reinforcement Learning (RL) +1

603

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Code

DeepMind Lab

5 code implementations • 12 Dec 2016 • Charles Beattie, Joel Z. Leibo, Denis Teplyashin, Tom Ward, Marcus Wainwright, Heinrich Küttler, Andrew Lefrancq, Simon Green, Víctor Valdés, Amir Sadik, Julian Schrittwieser, Keith Anderson, Sarah York, Max Cant, Adam Cain, Adrian Bolton, Stephen Gaffney, Helen King, Demis Hassabis, Shane Legg, Stig Petersen

DeepMind Lab is a first-person 3D game platform designed for research and development of general artificial intelligence and machine learning systems.

BIG-bench Machine Learning

7,098

Paper
Code

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