In questa repository una collezione di tutorial sulle basi del Reinforcement Learning, sviluppati in Python, interamente in italiano.
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Updated
May 30, 2024 - Jupyter Notebook
In questa repository una collezione di tutorial sulle basi del Reinforcement Learning, sviluppati in Python, interamente in italiano.
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
🌍💨 Explore the Windy Gridworld! An agent navigates a 10x7 grid facing wind challenges using Q-learning, SARSA, and Expected SARSA to find optimal paths. Visualize learning stability and compare algorithm performance with running averages and zoomed insights. 🚀📊
Welcome to AI-GameOptimization, a repository dedicated to exploring and implementing various optimization algorithms to solve complex games. This project initially focuses on solving the classic game Sokoban using the Q-learning algorithm, with plans to extend to genetic algorithms and other optimization techniques in the future.
repo for learning reinforcement learning from scratch
Several RL-agents are tested on classical environments and benchmarked against their stable-baselines implementation.
Implementation of "Augmenting Decision with Hypothesis in Reinforcement Learning"
Robot navigation with Q learning
A deep reinforcement learning bot that plays tetris
Reinforcement Learning Short Course
🧨 Interactive temporal difference algorithm simulator in which agent has to find the optimal path to reach certain destination.
This project applies a Q-learning agent to develop a trading strategy that maximizes profit through stock trading. The environment is based on historical stock prices of Nvidia over the past two years, containing 504 entries from 02/01/2021 to 01/31/2023.
This Tower of Hanoi Game Prototype is an attempt at explaining Q-learning and Reinforcement Learning Principles to People in an Intuitive and Interactive Way
Reinforcement learning used in the game of pong
This project builds a game bot for Chrome Dino Game using q-learning algorithm.
C++ program implements Sokoban game to solve it with AI reinforcement algorithm.
This repository explores the application of three reinforcement learning algorithms—Deep Q-Networks (DQN), Double Deep Q-Networks (DDQN), and Proximal Policy Optimization (PPO)—for playing Super Mario Bros using the OpenAI Gym and nes-py emulator. It includes a comparative analysis of these models.
Q-learning project where an agent learns by himself to find the exit inside a maze. The project is implemented as a level-based game.
implementations of basic RL algorithms
Author Implementation of "Augmenting Decision with Hypothesis in Reinforcement Learning"
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