Deep Reinforcement Learning for mobile robot navigation, a robot learns to navigate to a random goal point from random moves to adopting a strategy, in a simulated maze environment while avoiding dynamic obstacles.

Sample projects to learn reinforcement learning and deep reinforcement learning in practice.

This project proposes a simulation-based reinforcement learning framework for safe medicine dosage optimization. A virtual patient environment is mathematically modeled to simulate infection progression, toxicity accumulation, and immunity dynamics.

Tic-Tac-Toe Q-Learning is a beginner-friendly example of using reinforcement learning.

In this Assignment, you will teach RL Agents to pickup packages on a grid-world. The environment you will be using is called the Four-Rooms domain

A command-line turn‑based arena where you face an AI that learns with Q‑Learning: the agent buckets battle states into a Q‑table, updates action values after each fight using rewards and an epsilon‑greedy policy. It is ideal for experimenting with reinforcement learning, tweaking strategies and teaching core RL concepts through hands‑on pl

MuJoCo-based reinforcement learning with Q-learning-driven curriculum for robust humanoid locomotion under perturbations.

"Multi-Environment RL Benchmark: Optimizing Q-Learning via Reward Shaping & Hyperparameter Tuning" / "다중 환경 강화학습 벤치마크: 보상 설계(Reward Shaping) 및 하이퍼파라미터 튜닝을 통한 Q-Learning 최적화"

A 1vs1 game using reinforcement learning

We use python software and NumPy library to implement the Q-learning method , train an Agent to solve a Reinforcement Learning Problem

Q learning algorithm example in python

An implementation of iterative prisoner dilemma with reinforcement learning via q_table (NOT DQN) in Python with around 30 strategies

Tabular Q-learning agent for tic-tac-toe. Trained against a uniformly-random opponent; no minimax, no hard-coded rules.

A simple Q-Table implementation for Rust

Solving Flappy Bird with RL.

Implementation of core reinforcement learning algorithms with PyTorch

This is an introductory tutorial to tabular Q-learning in Norwegian.

42 project that involves implementing Reinforcement Learning

An interactive Flappy Bird game combining Reinforcement Learning, OpenGL graphics, and classic computer graphics algorithms, where an AI agent learns to survive through continuous self-play.

Introduction to Reinforcement learning without math overhead.