deep-q-learning
There are 361 repositories under deep-q-learning topic.
simoninithomas/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
pskrunner14/trading-bot
Stock Trading Bot using Deep Q-Learning
cpnota/autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
benedekrozemberczki/awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
MishaLaskin/curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
uvipen/Flappy-bird-deep-Q-learning-pytorch
Deep Q-learning for playing flappy bird game
uvipen/Tetris-deep-Q-learning-pytorch
Deep Q-learning for playing tetris game
MishaLaskin/rad
RAD: Reinforcement Learning with Augmented Data
navjindervirdee/2048-deep-reinforcement-learning
Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
songyanho/Reinforcement-Learning-for-Self-Driving-Cars
Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.
erfanMhi/Deep-Reinforcement-Learning-CS285-Pytorch
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
MehranTaghian/DQN-Trading
A Deep Reinforcement Learning Framework for Stock Market Trading
pokaxpoka/sunrise
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
andywu0913/OpenAI-GYM-CarRacing-DQN
Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.
boubnanm/Deep-Reinforcement-Learning-applied-to-DOOM
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
BY571/Munchausen-RL
PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
mmcenta/left-shift
Using deep reinforcement learning to tackle the game 2048.
artem-oppermann/Deep-Reinforcement-Learning
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
NariddhKhean/Grasshopper_DQN
Repository for CAADRIA19 Workshop: "WS.4 Deep Reinforcement Learning in Grasshopper".
vivek3141/super-mario-rl
Deep Reinforcement learning and Python learn how to play the original Super Mario Bros
doctorcorral/gyx
Reinforcement Learning environment for Elixir
vivek3141/pacman-ai
A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning
NariddhKhean/Robotic_Arm_DQN
A training simulation for the 'Kuka LBR iiwa' robotic arm using a deep Q-network.
abhi1345/deep-q-rank
A deep reinforcement learning approach to search engine ranking (PyTorch). Final Project for UC Berkeley's CS 285: Deep Reinforcement Learning, Decision Making, and Control
RuochenLiu/StreetFighter2-DeepRL-Model-on-Bizhawk
A method to train DRL model with Tensorflow and Bizhawk.
shumaym/Rubiks_Cube_AI
A PyTorch AI that learns to solve Rubik's Cubes using Deep Q-Learning.
victorsimrbt/chess_rl
A repository of applied reinforcement learning to make a competent chess engine.
chinancheng/DDQN.pytorch
DDQN inplementation on PLE FlappyBird environment in PyTorch.
andi611/DQN-Deep-Q-Network-Atari-Breakout-Tensorflow
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
Suman7495/rl-botics
Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow
kwea123/hindsight_experience_replay
A tensorflow implementation of hindsight experience replay
rishipython/StockTradingAI
This project is a Stock Trader trained to trade stocks from the S&P 500. It was made using a Deep Q-Learning model and libraries such as TensorFlow, Keras, and OpenAI Gym. It was trained on data from 2006-2016, cross validated on data from 2016-2018, and tested on data from 2018-2021
DataSenseiAryan/T-RexDinoRunner-GAME-AI-BOT
AI Bot for playing famous Google Chrome Offline Game T-Rex Dino -Runner. Developed on Pytorch using Deep Q Learning and Convolutional Neural Nets.
EliorBenYosef/reinforcement-learning
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Radu-Raicea/Self-Driving-Car-Simulation
Simulation of a self-driving car game using a Deep Q Learning AI