deepqlearning
There are 20 repositories under deepqlearning topic.
alexichepura/bevy_garage
Gamelike car simulation playground.
Roberock/Reinforcement-Learning-forPowerGrid-Operation_and_Maineinance
reinforcement learning for power grid optimal operations and maintenance
lambdavi/path_planning_drl
Researching new methods to leverage DeepRL for Coverage and Path Planning
RoozbehBandpey/autonomous-driving-dqn-carla
Experimentation on Carla Simulator for running DQN RL agents for Autonomous Driving
amaynez/AI-TicTacToe
Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.
jayaneetha/RL-ShortestPath
Reinfocement Learning Approach to solve Shortest Path Problem.
galinator9000/tf_DQN_CartPole
Deep Q Network with TensorFlow, used to solve CartPole environment from Gym.
maciekpajak/BomberAI
Project for AI in computer games
marcpaulo15/RL-connect4
Deep Reinforcement Learning algorithms to play Connect4 using a combination of Supervised Learning and Reinforcement Learning
AiDeveloper21/cosmo_chatbot
This is a chatbot that I build using ChatGPT.
Ezgii/DQN-on-maze
In this project, an artificial agent is trained to solve the Maze task using DQN algorithm
galinator9000/tf_DQN_dueling_pong
Dueling DQN agents in Pong game. Pong game written by @bearpaw7
nonkloq/nn_dqn-from-scratch
Artificial Neural Network (MLP) and Deep Q-Learning Implementation from scratch, only using numpy.
wybin4/ql-dql
<<individual work>> comparison of q-learning and deep q-learning
yashodeepchikte/Snake-AI
Training AI to play snake
AnuraagRath/A.I-learns-to-play-Atari-Breakout-ReinforcementLearning
Using the "Advantage Actor Critic(A2C)" Reinforcement Learning method, the 'Agent' is trained to play Atari's Breakout.
dongnh/DeepQLearningFBUnofficial
Deep Q-learning for playing flappy bird game
Neill-Erasmus/pacman
I developed and trained a deep convolutional Q-learning model to enable an agent to successfully solve the Pacman gym environment.
prakashdontaraju/maze-deep-reinforcement-learning
Deep reinforcement Q learning model to find the treasure at a fixed location from a random location in a maze