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Uber Research's Projects

ape-x icon ape-x

This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"

atari-model-zoo icon atari-model-zoo

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

atari-reset icon atari-reset

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"

backpropamine icon backpropamine

Train self-modifying neural networks with neuromodulated plasticity

d3g icon d3g

Estimating Q(s,s') with Deep Deterministic Dynamics Gradients

deeppruner icon deeppruner

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)

differentiable-plasticity icon differentiable-plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

fsdm icon fsdm

Code tor the SIGDIAL 2019 paper Flexibly-Structured Model for Task-Oriented Dialogues. It implements a deep learning end-to-end differentiable dialogue system model

go icon go

The Go programming language. This fork was created for pprof++, a Go profiler with hardware performance monitoring. Read through the link for more detail: https://eng.uber.com/pprof-go-profiler/

go-explore icon go-explore

Code for Go-Explore: a New Approach for Hard-Exploration Problems

lanegcn icon lanegcn

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

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