apoddar573 / Tic-Tac-Toe-Gym_EnvironmentLinks
This is an implementation of the tic-tac-toe game as a gym environment. It can be used to make the computer learn playing the Tic-Tac-Toe game.
☆26Updated 6 years ago
Alternatives and similar repositories for Tic-Tac-Toe-Gym_Environment
Users that are interested in Tic-Tac-Toe-Gym_Environment are comparing it to the libraries listed below
Sorting:
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆299Updated last year
 - Bandits Environments for the OpenAI Gym☆89Updated 5 years ago
 - Gridworld environments for OpenAI gym.☆79Updated last year
 - Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem☆22Updated 6 years ago
 - Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆103Updated 5 years ago
 - Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
 - TensorFlow implementation of asynchronous advantage actor-critic (A3C)☆38Updated 4 years ago
 - ☆71Updated 2 years ago
 - Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆206Updated 5 years ago
 - Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆329Updated 3 years ago
 - Simple bit flipping with sparse rewards using HER, similarly to the original paper☆39Updated 6 years ago
 - My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
 - A simple stochastic OpenAI environment for training RL agents☆88Updated 2 years ago
 - Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
 - Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.☆77Updated 5 years ago
 - Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
 - Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
 - Evolving deep neural network agents using Genetic Algorithms☆68Updated 6 years ago
 - A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆374Updated 2 years ago
 - Highly Modular and Scalable Reinforcement Learning☆118Updated 5 years ago
 - Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆101Updated 5 years ago
 - This repository contains the game bubble shooter as a gym environment. Based on: https://github.com/justinmeister/bubbleshooter☆17Updated 5 years ago
 - C51-DDQN in Keras☆126Updated 7 years ago
 - A simple Gridworld environment for Open AI gym☆25Updated 7 years ago
 - RLlib tutorials☆66Updated 3 years ago
 - Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 years ago
 - Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆357Updated 6 years ago
 - Clone of OpenAI's Spinning Up in PyTorch☆153Updated 3 years ago
 - Reinforcement Learning in Keras on VizDoom☆142Updated 8 years ago
 - Coding Demos from the School of AI's Move37 Course☆183Updated 6 years ago