arnavkj1995

face_inpainting

VSG

Learning Robust Dynamics Through Variational Sparse Gating

Eta_Psi_Learning

Codebase of ηψ-Learning algorithm that learns a non-Markovian maximum state entropy exploration policy by combining predecessor and successor representation to estimate the state visitation distribution of a trajectory of finite length.

BBS

arnavkj1995.github.io

curl_rainbow

cwvae

Clockwork Variational Autoencoder

deep_bisim4control

Learning Invariant Representations for Reinforcement Learning without Reconstruction

docs

TensorFlow documentation

dream

Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning

dreamer-pro

dreamerv2

Mastering Atari with Discrete World Models

GAFN

gen-efficientnet-pytorch

Pretrained EfficientNet, MixNet, MobileNetV3, MNASNet A1 and B1, FBNet, Single-Path NAS

Generalization_WM

impact-driven-exploration

impact-driven-exploration

IQ-Learn

(NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation

lexa

maxent

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

progressive_growing_of_gans_tf

TensorFlow Re-implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation

RepDistiller

Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

RLHive

robocup-stp

STP Architecture

sequence_inpainting

skip-thoughts

An implementation of Skip-Thought Vectors in PyTorch

tdmpc

Code for "Temporal Difference Learning for Model Predictive Control"

text2image

varibad

Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)