There are 23 repositories under deep-q-learning topic.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Stock Trading Bot using Deep Q-Learning
A PyTorch library for building deep reinforcement learning agents.
A curated list of Monte Carlo tree search papers with implementations.
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Deep Q-learning for playing flappy bird game
Deep Q-learning for playing tetris game
RAD: Reinforcement Learning with Augmented Data
Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning
Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
A Deep Reinforcement Learning Framework for Stock Market Trading
Train a DQN Agent to play CarRacing 2d using TensorFlow and Keras.
DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM
PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN
Using deep reinforcement learning to tackle the game 2048.
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
Deep Reinforcement learning and Python learn how to play the original Super Mario Bros
Reinforcement Learning environment for Elixir
Repository for CAADRIA19 Workshop: "WS.4 Deep Reinforcement Learning in Grasshopper".
A training simulation for the 'Kuka LBR iiwa' robotic arm using a deep Q-network.
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
A method to train DRL model with Tensorflow and Bizhawk.
A PyTorch AI that learns to solve Rubik's Cubes using Deep Q-Learning.
A repository of applied reinforcement learning to make a competent chess engine.
DDQN inplementation on PLE FlappyBird environment in PyTorch.
Training a vision-based agent with the Deep Q Learning Network (DQN) in Atari's Breakout environment, implementation in Tensorflow.
A tensorflow implementation of hindsight experience replay
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
AI Bot for playing famous Google Chrome Offline Game T-Rex Dino -Runner. Developed on Pytorch using Deep Q Learning and Convolutional Neural Nets.
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Simulation of a self-driving car game using a Deep Q Learning AI