An open API service providing repository metadata for many open source software ecosystems.

Topic: "deepqlearning"

alexichepura/bevy_garage

Gamelike car simulation playground.

Language: Rust - Size: 14.4 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 155 - Forks: 11

Roberock/Reinforcement-Learning-forPowerGrid-Operation_and_Maineinance

reinforcement learning for power grid optimal operations and maintenance

Language: MATLAB - Size: 181 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 20 - Forks: 7

lambdavi/path_planning_drl

Researching new methods to leverage DeepRL for Coverage and Path Planning

Language: Python - Size: 13.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 14 - Forks: 3

amaynez/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.

Language: Python - Size: 18.2 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

jayaneetha/RL-ShortestPath

Reinfocement Learning Approach to solve Shortest Path Problem.

Language: Python - Size: 18.6 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

maciekpajak/BomberAI

Project for AI in computer games

Language: Python - Size: 5.59 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

galinator9000/tf_DQN_CartPole

Deep Q Network with TensorFlow, used to solve CartPole environment from Gym.

Language: Python - Size: 393 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

nonkloq/nn_dqn-from-scratch

Artificial Neural Network (MLP) and Deep Q-Learning Implementation from scratch, only using numpy.

Language: Jupyter Notebook - Size: 278 KB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 3

ngqhung0912/mensErgerJeNiet

Language: Python - Size: 26.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

yashodeepchikte/Snake-AI

Training AI to play snake

Language: Python - Size: 52.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

wybin4/ql-dql

comparison of q-learning and deep q-learning

Language: Python - Size: 5.15 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

galinator9000/tf_DQN_dueling_pong

Dueling DQN agents in Pong game. Pong game written by @bearpaw7

Language: Python - Size: 1.52 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

sudydtdtgxdjchdyfghxyfgjcj/MLP-From-Scratch

A C++ implementation of a Multilayer Perceptron (MLP) neural network using Eigen, supporting multiple activation and loss functions, mini-batch gradient descent, and backpropagation for training.

Language: C++ - Size: 23.4 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

Neill-Erasmus/pacman

This project features a Deep Convolutional Q-Network (DCQN) trained to excel in the Pacman environment within OpenAI's Gymnasium, showcasing the power of reinforcement learning in mastering complex visual tasks like navigating mazes and evading enemies.

Language: Python - Size: 16.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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

Language: Python - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0