aklein1995

shap

A game theoretic approach to explain the output of any machine learning model.

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

IsaacGymEnvs

Isaac Gym Reinforcement Learning Environments

bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

procgen

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

torchbeast

A PyTorch Platform for Distributed RL

imitation

Code for the paper "Generative Adversarial Imitation Learning"

notes

Course notes

Quantus

Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

rllte

Long-Term Evolution Project of Reinforcement Learning

meltingpot

A suite of test scenarios for multi-agent reinforcement learning.

PyTorch-Model-Compare

Compare neural networks by their feature similarity

url_benchmark

self-imitation-learning

ICML 2018 Self-Imitation Learning

pytorch-esn

An Echo State Network module for PyTorch.

gail-airl-ppo.pytorch

PyTorch implementation of GAIL and AIRL based on PPO.

dmcontrol-generalization-benchmark

DMControl Generalization Benchmark

bose_qc35-ubuntu

Pair Bose QuietComfort 35 with Ubuntu over Bluetooth

gail-pytorch

A simple implementation of Generative Adversarial Imitation Learning with PyTorch

soft-actor-critic.pytorch

PyTorch implementation of Soft Actor-Critic(SAC).

soft-Q-learning

discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!

effective-horizon

Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"

eirli

An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21

NovelD

derl

The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)

deir

DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards

Baselines_icm

[Work in Progress] ICM plugin for OpenAI Baselines