jamesq9 / Tic-Tac-Toe-Machine-Learning-Using-Reinforcement-LearningLinks
A Python Program to implement Machine Learning for the Game Tic Tac Toe (3x3) using Reinforcement Learning (Q learning technique) and tensorflow.
☆14Updated 8 years ago
Alternatives and similar repositories for Tic-Tac-Toe-Machine-Learning-Using-Reinforcement-Learning
Users that are interested in Tic-Tac-Toe-Machine-Learning-Using-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- Deep Q-Networks in tensorflow☆10Updated 8 years ago
- Playing Breakout with double deep Q network☆13Updated 8 years ago
- LSTM based human activity recognition using smart phone sensor dataset☆22Updated 8 years ago
- dqn autoplay mario bros☆21Updated 8 years ago
- Used LSTM on Flickr dataset☆12Updated 7 years ago
- Various DQN method with cartpole☆11Updated 7 years ago
- TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)☆10Updated 7 years ago
- Sequence generation with LSTM neural network base on Lord of the Rings☆23Updated 9 years ago
- Pytorch implementation of Human-Level Control through Deep Reinforcement Learning☆11Updated 8 years ago
- Tensorflow implementation for "Noisy network for exploration"☆19Updated 8 years ago
- ☆27Updated 8 years ago
- A DQN implementation using Keras and Tensorflow☆12Updated 7 years ago
- nd009-cn-advanced-p5，针对Udacity CN MLND P5项目☆14Updated 3 years ago
- RC-NFQ: Regularized Convolutional Neural Fitted Q Iteration. A batch algorithm for deep reinforcement learning. Incorporates dropout regu…☆12Updated 4 years ago
- A Pygame+Pymunk Carrom Simulation Testbed for reinforcement learning. [CS747][ Foundations of Intelligent and Learning Agents]☆15Updated 6 years ago
- This repo gives an example of using a simple method of reinforcement learning to beat the Lunar Lander environment. The agent uses a comb…☆18Updated 7 years ago
- RNN classifier built with Keras to classify MNIST dataset☆13Updated 8 years ago
- LSTM with exogenous variables for forecasting☆11Updated 7 years ago
- Code for solving a basic maze reinforcement learning problem using Q-learning☆14Updated 5 years ago
- Snake game implemented in Pygame that can be controlled by human input and AI agents (DQN). Who's best?☆11Updated 2 years ago
- Vanilla LSTM with numpy☆20Updated 8 years ago
- Reinforcement Learning☆12Updated 8 years ago
- ☆30Updated 8 years ago
- CNN with LSTM to predict next frame☆16Updated 6 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Updated 8 years ago
- PyTorch Implementation of DQN and training Super Mario Bros☆25Updated 2 months ago
- DQN to play slither.io☆11Updated 9 years ago
- A PyTorch implementation of deep Q-learning for Atari games☆13Updated 7 years ago
- Training an LSTM network on the Penn Tree Bank (PTB) dataset☆11Updated 7 years ago
- This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a …☆13Updated 7 years ago