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0727_generative

1126_vaegan

blog

cs311

d4rl

A benchmark for offline reinforcement learning.

deepnlp

practices on https://github.com/oxford-cs-deepnlp-2017/lectures

easy21

Reinforcement Learning Assignment Project from http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html

gameproject

gpustat

📊 A simple command-line utility for querying and monitoring GPU status

howtotrainyourmamlpytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

kaistusc

KAIST Undergraduate Student Council Website on Django

metadrop

metadrop-1

Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)

metaworld

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

minedojo

Building Open-Ended Embodied Agents with Internet-Scale Knowledge

minerl

MineRL Competition for Sample Efficient Reinforcement Learning - Python Package

ml_study

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

rlhf_demo

samsung-ai-kaist

samsung-ai-kaist-1

scanvoca

simpl

spirl

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020

torch_truncnorm

Truncated Normal distribution in PyTorch

video-pre-training

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

vima

Official Algorithm Implementation of ICML'23 Paper "VIMA: General Robot Manipulation with Multimodal Prompts"