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rosemaryke

sectar

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

seq2seq-pytorch

Sequence to Sequence Models with PyTorch

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

skiprnn_pytorch

A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"

sparse_attentive_backtracking_release

Code for our paper "Sparse Attentive Backtracking: Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding" https://papers.nips.cc/paper/7991-sparse-attentive-backtracking-temporal-credit-assignment-through-reminding.pdf

spoon-knife

This repo is for demonstration purposes only.

spriteworld

Spriteworld: a flexible, configurable python-based reinforcement learning environment

stove

Anonymous ICLR 2020 Submission: Structured Object-Aware Physics Prediction for Video Modelling and Planning

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

twin-spelling

twinnet

twinnet_imagecaption

vime

Variational Information Maximizing Exploration (VIME) as presented in "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"

walkback_nips17

Variational Walkback, NIPS'17

worldmodelsexperiments

World Models Experiments

youcompleteme

A code-completion engine for Vim

zforcing

ZForcing Repo

zforcing_nips17

Z Forcing: Training Stochastic RNN's, NIPS'17

zoneout

Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.