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Pinned repositories
Repositories
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dm_env
A Python interface for reinforcement learning environments
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dm_control
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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dm-haiku
JAX-based neural network library
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acme
A library of reinforcement learning components and agents
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kapitan
Generic templated configuration management for Kubernetes, Terraform and other things
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hanabi-learning-environment
hanabi_learning_environment is a research platform for Hanabi experiments.
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optax
Optax is a gradient processing and optimization library for JAX.
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bsuite
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
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dqn_zoo
DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (DQN) agent.
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ferminet
An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations
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ai-safety-gridworlds
This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
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grid-cells
Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6
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tree
tree is a library for working with nested data structures
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sonnet
TensorFlow-based neural network library
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graph_nets
Build Graph Nets in Tensorflow
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pysc2
StarCraft II Learning Environment
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mathematics_dataset
This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.
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dm_env_rpc
A networking protocol for agent-environment communication
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surface-distance
Library to compute surface distance based performance metrics for segmentation tasks.
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spriteworld
Spriteworld: a flexible, configurable python-based reinforcement learning environment
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lamb
LAnguage Modelling Benchmarks
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trfl
TensorFlow Reinforcement Learning
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dm_memorytasks
A set of 13 diverse machine-learning tasks that require memory to solve.
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wasserstein_fairness
An implementation of Wasserstein Fair Classification, a conference paper submitted to UAI 2019.
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leaps-and-bounds
This is an implementation of LeapsAndBounds and Structured Procrastination for approximately optimal algorithm configuration.
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learning-to-learn
Learning to Learn in TensorFlow
