COLLECTED BY

Organization: Archive Team

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: Archive Team: URLs

TIMESTAMPS

The Wayback Machine - https://web.archive.org/web/20220709095630/https://github.com/topics/deep-rl

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deep-rl

Here are 32 public repositories matching this topic...

lexfridman / mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

data-science machine-learning mit deep-learning tensorflow deep-reinforcement-learning artificial-intelligence neural-networks segmentation tensorflow-tutorials deeplearning jupyter-notebooks self-driving-cars deep-rl

Updated Jun 24, 2022
Jupyter Notebook

lexfridman / deeptraffic

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

machine-learning mit deep-learning tensorflow deep-reinforcement-learning convnetjs self-driving-cars deep-rl

Updated Jan 8, 2019
JavaScript

devendrachaplot / Neural-SLAM

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

deep-learning robotics navigation deep-reinforcement-learning exploration visual-navigation deep-rl neural-slam active-neural-slam

Updated Jan 28, 2022
Python

MishaLaskin / curl

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

deep-neural-networks reinforcement-learning deep-learning curl gpu deep-reinforcement-learning deep-learning-algorithms reinforcement-learning-algorithms deeplearning deep-q-network sac deep-q-learning reinforcement-agents deep-rl deeplearning-ai contrastive-loss off-policy contrastive-predictive-coding model-free-rl contrastive-learning

Updated Oct 28, 2020
Python

kengz / awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources.

reinforcement-learning deep-reinforcement-learning resources awesome-list deep-rl

Updated Jun 9, 2022

Object-Goal-Navigation

devendrachaplot / Object-Goal-Navigation

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

deep-learning robotics navigation deep-reinforcement-learning exploration visual-navigation deep-rl semantic-navigation object-goal-navigation sem-exp

Updated Apr 2, 2021
Python

CapsuleEndoscope / VirtualCapsuleEndoscopy

VR-Caps: A Virtual Environment for Active Capsule Endoscopy

control unity domain-adaptation deep-rl disease-classification sim2real area-coverage active-capsule-endoscopy

Updated Jun 23, 2022
C#

LJ147 / spinningup

OpenAI团队的深度强化学习教程中文版

reinforcement-learning deep-learning deep-rl

Updated Oct 12, 2019
Python

YiqinYang / ICQ

Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

reinforcement-learning offline deep-reinforcement-learning pytorch deep-rl multi-agent-reinforcement-learning mutli-agent

Updated Mar 9, 2022
Python

manantomar / Mirror-Descent-Policy-Optimization

Mirror Descent Policy Optimization

reinforcement-learning deep-learning deep-reinforcement-learning deep-learning-algorithms sac trpo deep-rl ppo deep-learning-ai policy-optimization stable-baselines model-free-rl mirror-descent mdpo

Updated Oct 31, 2020
Python

hiwonjoon / cs294-deep-rl-hw

Berkeley DeepRL Homework

berkeley cs294 deep-rl

Updated Aug 13, 2017
Jupyter Notebook

dbobrenko / reinforceflow

Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym

reinforcement-learning openai-gym dqn a3c double-dqn prioritized-replay deep-rl async-dqn

Updated Apr 30, 2018
Python

jakegrigsby / super_sac

A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data augmentation, offline learning and behavioral cloning.

control reinforcement-learning pytorch sac deep-rl

Updated May 1, 2022
Python

qiwihui / spinningup

OpenAI团队的深度强化学习教程中文版

reinforcement-learning deep-reinforcement-learning openai-gym openai reinforcement-learning-algorithms deep-rl spinningup

Updated May 16, 2020
Python

lgvaz / rlbox

RLbox: Solving OpenAI Gym with TensorFlow

tensorflow deep-reinforcement-learning openai-gym dqn atari continuous-control mujoco deep-rl proximal-policy-optimization ppo

Updated Apr 19, 2018
Python

Yangyangii / Curiosity-Driven-A2C

Implementation of Curiosity-Driven Exploration with PyTorch

cartpole a3c curiosity actor-critic deep-rl a2c curiosity-driven a3c-curiosity curiosity-rl

Updated Sep 11, 2019
Jupyter Notebook

kkhetarpal / unrealwithattention

Attend Before you Act: Leveraging human visual attention for continual learning

unreal deep-rl human-visual-attention attend-before-you-act auxiliary-tasks

Updated Aug 17, 2018
Jupyter Notebook

reza-ebrahimi / awesome-autonomous-systems

A curated list of awesome intelligent autonomous systems ecosystem

machine-learning awesome reinforcement-learning deep-reinforcement-learning autonomous autonomous-systems deep-rl

Updated Mar 5, 2020

victor-iyi / deep-RL

Exploration of deep reinforcement learning and various state-of-the-art techniques to create a turely autonomous agent.

machine-learning reinforcement-learning ai deep-reinforcement-learning artificial-intelligence policy-gradient a3c actor-critic deep-rl proximal-policy-optimization ppo policy-network temporal-difference

Updated Feb 19, 2019
Python

LucasColas / AI-Plays-Mario

An AI that learns to play Mario

algorithm gym rl deep-rl ppo open-ai stable-baselines

Updated Jan 29, 2022
Python

ashutoshtiwari13 / Demystifying-Deep-Reinforcement-Learning

⚡️ Code and Notes 📝 for Grokking Deep RL and RL: An Introduction by Sutton & Barto(2nd edition, 2018) 🤘

reinforcement-learning deep-reinforcement-learning reinforcement-learning-algorithms grokking-algorithms monte-carlo-methods deep-rl sutton-book temporal-difference-algorithms sutton-barto-book

Updated Jul 25, 2020
Jupyter Notebook

kamenbliznashki / learn_to_move

My solution to the NeurIPS challenge Learn to Move: Walk Around

reinforcement-learning tensorflow normalizing-flows deep-rl neurips-2019

Updated Jan 16, 2020
Python

gbartyzel / yadrl

Yet another deep reinforcement learning

deep-reinforcement-learning dqn ddpg sac ddqn double-dqn dueling-dqn deep-rl categorical-dqn noisynet-dqn td3 qr-dqn multi-step-dqn dueling-ddqn distributional-ddpg

Updated Jan 27, 2021
Python

albjerto / moon-landing

Deep Q-Learning algorithms to solve LunarLander-v2.

python reinforcement-learning openai-gym pytorch dqn rl ddqn double-dqn dueling-dqn deep-rl lunarlander-v2 dueling-ddqn

Updated Feb 12, 2021
Python

PPO

JojiJoseph / PPO

Updated Nov 22, 2021
Python

Tsaousis / Reinforcement-Learning-Trading-GME

$GME Trading using Deep Reinforcement Learning algorithms

machine-learning reinforcement-learning trading trading-strategies deep-rl gme-stock

Updated Oct 7, 2021
Jupyter Notebook

a2n-s / dqn

An application of Reinforcement Learning (RL) from the SDD RL class to function approximators and deep learning.

machine-learning reinforcement-learning ml deep-reinforcement-learning pytorch dqn rl deep-rl isae-supaero

Updated Jan 14, 2022
Python

zhihanyang2022 / deeprl_notes

Demos of deep RL algorithms.

pytorch deep-rl

Updated Jul 7, 2020
Jupyter Notebook

NUS-LID / RENAULT

Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning

deep-learning deep-reinforcement-learning ensemble-learning deep-q-learning multi-task-learning deep-rl off-policy auxiliary-tasks model-free-rl data-efficient-learning

Updated Jul 2, 2021
Python

ishanshukla97 / Deep-Q-Network

Simple DQN implementation in jupyter notebook

tensorflow keras deep-rl notebook-jupyter dqn-tensorflow

Updated Apr 8, 2019
Jupyter Notebook

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