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Q Learning Python Packages

Python packages with the GitHub topic q-learning. Sorted by relevance, with stars and monthly downloads.
lucidrains
q-transformer

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

3K 407 22
chimera0
accelbrainbeat

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

2K 325 91
accel-brain
pysummarization

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

1K 325 91
Abd0r
quatrix

Q-Compass architecture — RL-grounded sequence mixing for text, vision, audio, world modeling, and cross-field tasks

1K 0 0
chimera0
pydbm

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

919 325 91
accel-brain
accel-brain-base

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

864 325 91
accel-brain
pyqlearning

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

562 325 91
accel-brain
pygan

pygan is Python library to implement Generative Adversarial Networks(GANs), Conditional GANs, Adversarial Auto-Encoders(AAEs), and Energy-based Generative Adversarial Network(EBGAN).

499 325 91
cool-RR
grid-royale

A framework for multi-agent reinforcement learning.

465 272 27
jackblandin
research

A collection of machine learning and reinforcement learning algorithms for my PhD research and/or personal education.

442 7 4
VinF
deer

DEEp Reinforcement learning framework

397 488 119
garethjns
reinforcement-learning-keras

No description available

357 6 2
Nesta-gitU
simple-q

Low learning-curve implementation of standard Q-learning.

329 2 0
anthonykrivonos
qubot

Qubot automated testing framework.

328 2 1
accel-brain
pycomposer

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

302 325 91
cool-RR
marley

A framework for multi-agent reinforcement learning.

283 272 27
neelsomani
literature

Literature card game implementation: https://en.wikipedia.org/wiki/Literature_(card_game)

251 10 2
fszewczyk
rocketgym

Custom OpenAI Gym for vertical rocket landing and Deep Q-Learning implementation.

248 17 4
RootHarold
lycorisq

A neat reinforcement learning framework based on LycorisNet.

228 5 0
misaghsoltani
deepcubeai

Learning Discrete World Models for Heuristic Search

221 11 2
entrpn
fingym

A tool for developing reinforcement learning algorithms focused in stock prediction

193 18 5
ZenSam7
easymyai

Easy creation of your own simple neural network

184 1 0
ca-scribner
lrl

lrl: Learn Reinforcement Learning - A package to help people learn basic planning and Reinforcement Learning

130 1 0
Pabloo22
tabular-rl

A simple Reinforcement Learning framework to decouple agents from environments in discrete-state settings with implementations of double Q-learning and policy iteration through dynamic programming.

89 8 0
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