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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.

b_pref

cmcl

This code is for the paper "Confident Multiple Choice Learning".

coinrun

Code for the paper "Quantifying Transfer in Reinforcement Learning"

confident_classifier

Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018

csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

d4rl

A benchmark for offline reinforcement learning.

d4rl_get_trajectory

deep_mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

dynamic_control_wlan

Implementation of "Dynamic Control for On-demand Interference-managed WLAN Infrastructures"

ebgan

A tensorflow implementation of Junbo et al's Energy-based generative adversarial network ( EBGAN ) paper.

hardrlwithyoutube

TensorFlow implementation of "Playing hard exploration games by watching YouTube"

lid_adversarial_subspace_detection

Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".

netrand

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

odin-pytorch

Principled Detection of Out-of-Distribution Examples in Neural Networks

rad_openaigym

RAD: Reinforcement Learning with Augmented Data (code for state augmentation)

rad_procgen

RAD: Reinforcement Learning with Augmented Data (code for procgen experiments)

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

relational_drl

Implementation of Relational Deep Reinforcement Learning

rognoisylabel

Description Code for the paper "Robust Inference via Generative Classifiers for Handling Noisy Labels".

sunrise

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

table

React Table

torch7

http://torch.ch

vision

Datasets, Transforms and Models specific to Computer Vision

worldmodelsexperiments

World Models Experiments