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brain-tokyo-workshop

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brax

Massively parallel rigidbody physics simulation on accelerator hardware.

cloudml-samples

Samples for Google Cloud Machine Learning Engine

corrreg

cs294_drl

Deep Reinforcement Learning CS294@UCB

diffmem

Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)

dnc

Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

es

evolution strategies

es_on_gke

Run evolution strategies on Google Kubernetes Engine

estool

Evolution Strategies Tool

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

gymothelloenv

Othello environment with OpenAI Gym interfaces

hfr

learning_to_run

pfrl

PFRL: a PyTorch-based deep reinforcement learning library

procgen

Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

professional-services

Common solutions and tools developed by Google Cloud's Professional Services team

public_resources

rlds_dataset_builder

An example RLDS dataset builder for X-embodiment dataset conversion.

ro_placing

self-interpretable-agent

Code for the paper "Neuroevolution of Self-Interpretable Agents"

train-procgen-pfrl

PyTorch code to train and evaluate Procgen tasks

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).