MishaLaskin

curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

vqvae

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

rad

RAD: Reinforcement Learning with Augmented Data

torchingup

TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement OpenAI’s SpinningUp repository, which contains similar algorithms implemented in Tensorflow.

plan2explore

vqvae2

bigger better vqvae

goal_sac

gym-miniworld

Simple 3D interior simulator for RL & robotics research

ml-coursework

Assignments and notes for cs231: Convolutional Neural Networks and cs294: Deep Reinforcement Learning

rl-prep

metaworld

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

rlkit

Collection of reinforcement learning algorithms

spinningup

An educational resource to help anyone learn deep reinforcement learning.

bairblog.github.io

blockworld

dm_control

The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.

dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

hallucinative-topological-memory

jaxrl

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

large-scale-curiosity

Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

mishalaskin.github.io

Research website

open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

papercrawlv1

rlpyt

Reinforcement Learning in PyTorch

rlsink

roofnet

Code for RoofNet

safety-gym

Tools for accelerating safe exploration research.

sgm

Sparse Graphical Memory for Robust Planning

url_benchmark

vae

Variation autoencoder in pytorch