#Deep-q-learning

Showing 8 of 8 repositories tagged #deep-q-learning, ranked by stars

simoninithomas
simoninithomas
Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Score
100
★ 3.9k ⑂ 1.2k
Jupyter Notebook
benedekrozemberczki
benedekrozemberczki
awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

Score
80
★ 713 ⑂ 76 +1/day
Python
MishaLaskin
MishaLaskin
curl

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

Score
60
★ 605 ⑂ 92
Python
navjindervirdee
navjindervirdee
2048-deep-reinforcement-learning

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Score
40
★ 224 ⑂ 57
Jupyter Notebook
andywu0913
andywu0913
OpenAI-GYM-CarRacing-DQN

Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.

Score
20
★ 96 ⑂ 43
Python
YuriyKolesnikov
YuriyKolesnikov
rl-trading-binance

Reinforcement Learning Agent for Binance Futures — realistic backtesting, CNN + D3QN + PER, and reproducible training pipeline.

Score
100
★ 63 ⑂ 26
Python
vivek3141
vivek3141
pacman-ai

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

Score
0
★ 29 ⑂ 3
Python
masonJamesWheeler
masonJamesWheeler
Active-Trader

Emergent Trading Strategies with DQN in Stock Market Trading This repository contains the implementation of a Deep Q-Network (DQN), applied to the realm of stock market trading. This repository also holds the code for research paper "Emergent Trading Strategies from Deep Reinforcement Learning Models in Stock Market Trading".

Score
0
★ 13 ⑂ 2
Python
Related Topics
#reinforcement-learning#deep-q-network#deep-reinforcement-learning#deep-learning#tensorflow#machine-learning#q-learning#reinforcement-learning-algorithms#neural-network#dqn#quantitative-finance#a2c

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