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Google DeepMind's Projects

open_spiel icon open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

opro icon opro

official code for "Large Language Models as Optimizers"

optax icon optax

Optax is a gradient processing and optimization library for JAX.

pgmax icon pgmax

Loopy belief propagation for factor graphs on discrete variables in JAX

pushworld icon pushworld

PushWorld: A benchmark for manipulation planning with tools and movable obstacles

pycolab icon pycolab

A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!

pysc2 icon pysc2

StarCraft II Learning Environment

rc-data icon rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

reverb icon reverb

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

scalable_agent icon scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

slim-dataset icon slim-dataset

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

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