This project was completed on October 15, 2015. It's a software package that consists of a set of AI agents for RPSLW (a stochastic game). One of the agents was implemented, so that it could learn how to play against different types of players on its own using Reinforcement Learning (specifically, using model-free type of RL - Q learning). To l…

A collection of projects solving problems using AI

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Un semplicissimo Agente IA per Gym di OpenAI

♟ AI agent for a deterministic board game with no hidden information

Learning from AI

A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.

Created an AI agent to play Pacman version of capture the flag (CTF) with python2.7

Halma Two-player Game, Design and Implement an AI Agent

Among AIs is a (prototype of) PC Game we developed as part of the Smart Applications course @ University of Pisa.

CHANGE is a Human-AI team collaborative problem solving game environment.

（重要: 開発は終了しました。詳細はREADME.md参照）いつもあなたと共に。オープンな相棒

Jersi-certu is a Python3 program for playing the strategy game Jersi

Mikjersi-certu is a Python3 program for playing a micro-variant of the strategy game Jersi

AI agent game competition - Reinforcement learning (Monte Carlo Tree Search, Deep Q-learning, Minimax)

Comprehend code