• 3
• 0
• 0

dm_c19_modelling

• 3
• 0
• 0

meltingpot

A suite of test scenarios for multi-agent reinforcement learning.

• 3
• 0
• 0

dmvr

• 2
• 0
• 0

launchpad

• 2
• 0
• 0

distrax

• 2
• 0
• 0

fancyflags

A Python library for defining structured command-line flags.

• 2
• 0
• 0

lab2d

A customisable 2D platform for agent-based AI research

• 2
• 0
• 0

dm_construction

• 2
• 0
• 1

acme

A library of reinforcement learning components and agents

• 2
• 0
• 0

reverb

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research

• 2
• 0
• 0

dm_hard_eight

• 2
• 0
• 0

dm_memorytasks

A set of 13 diverse machine-learning tasks that require memory to solve.

• 2
• 0
• 0

xquad

• 2
• 0
• 0

deep-verify

• 2
• 0
• 0

multi_object_datasets

Multi-object image datasets with ground-truth segmentation masks and generative factors.

• 2
• 0
• 0

mathematics_dataset

This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

• 2
• 0
• 0

grid-cells

Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published...

• 2
• 0
• 0

streetlearn

A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven ...

• 2
• 0
• 0

symplectic-gradient-adjustment

A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"

• 2
• 0
• 0

slim-dataset

Datasets used to train Spatial Language Integrating Model (SLIM) in the ‘Encoding Spatial Relations from Natural Language’ paper.