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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 406 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
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.

1K 325 91
Abd0r
quatrix

Quatrix — Q-Compass Architecture: novel neural architecture replacing attention with value-based navigation. Base for the Quasar model series.

976 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.

974 325 91
cool-RR
grid-royale

GridRoyale - A life simulation for exploring social dynamics

798 272 27
accel-brain
accel-brain-base

accel-brain-base is a basic library of the Deep Learning for rapid development at low cost. This library makes it possible to design and implement deep learning, which must be configured as a complex system, by combining a plurality of functionally differentiated modules such as a Deep Boltzmann Machines(DBMs), an Auto-Encoder, an Encoder/Decoder based on Long Short-Term Memory(LSTM), a Convolutional Auto-Encoder(CAE), and Transformer.

658 325 91
accel-brain
pygan

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.

497 325 91
anthonykrivonos
qubot

🤖 Autonomous software acceptance testing library for Python taken from my Qubot paper.

488 2 1
VinF
deer

DEEp Reinforcement learning framework

433 488 119
cool-RR
marley

A framework for multi-agent reinforcement learning.

422 272 27
accel-brain
pycomposer

pycomposer is Python library for Algorithmic Composition or Automatic Composition based on the stochastic music theory and the Statistical machine learning problems. Especialy, this library provides apprication of the Algorithmic Composer based on Generative Adversarial Networks(GANs) and Conditional Generative Adversarial Networks(Conditional GANs).

335 325 91
garethjns
reinforcement-learning-keras

No description available

319 6 2
fszewczyk
rocketgym

OpenAI Gym for vertical rocket landing. Features full 2D physics engine and works like any other gym.

293 17 4
Nesta-gitU
simple-q

Low learning-curve implementation of standard Q-learning.

281 2 0
jackblandin
research

Utility modules used for research and/or learning

254 7 4
misaghsoltani
deepcubeai

Learning Discrete World Models for Heuristic Search

194 10 1
RootHarold
lycorisq

A neat reinforcement learning framework based on LycorisNet.

192 5 0
neelsomani
literature

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

190 10 2
ZenSam7
easymyai

Easy creation of your own simple neural network

188 1 0
entrpn
fingym

A tool for developing reinforcement learning algorithms focused in stock prediction

173 18 5
ca-scribner
lrl

lrl: Learn Reinforcement Learning

126 1 0
tctibbs
matchbox-rl

Matchbox-RL: A tangible reinforcement learning library for Python. Based on Donald Michie's 1961 MENACE algorithm using matchboxes and colored beads. Perfect for education and visualizing RL.

86 0 0
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