Policy Iteration for Continuous Dynamics

High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).

Comparison of Value Iteration, Policy Iteration and Q-Learning for solving Decision-Making problems

Finding a shortest path on a binary occupancy map

RL Assignments , IIT KGP Autumn 2024

A simple machine learning library for C++

Based on the book --- Reinforcement Learning: An Introduction (2nd ed, 2018) by Sutton and Barto. For the Reinforcement Learning course Assignment 2 (see Gridworld Problem 1.pdf) at Memorial University of Newfoundland, Jul. 18, 2024

Containing a custom-built Reinforcement Learning environment and implementations of key RL algorithms like Q-learning and SARSA, tested in scenarios such as a drone navigation challenge and the Frozen Lake environment.

We apply a zero-sum stochastic model of baseball to optimizing batting lineups.

Implementation of the MDP algorithm for optimal decision-making, focusing on value iteration and policy determination.

A 15-puzzle solver using Reinforcement Learning in C++

Explore the Gridworld Simulation 🌍🚀! An agent navigates a 5x5 grid to maximize rewards, using the Value Iteration algorithm 🔄. Visualizations 📊 show optimal paths and value convergence. Dive into dynamic programming and decision-making! 🤖🧠

University of Tehran-Reinforcement Learning Fall 2022

Reinforcement Learning Short Course

implementations of basic RL algorithms

Reinforcement Learning Algorithms in a simple Gridworld

A Python-based repository with implementations of RL algorithms, featuring visualization tools and benchmarks

The Fundamentals of Artificial Intelligence Course Projects.

Repo for maze generation and pathfinding algorithms, including BFS, DFS, A*, MDP Value Iteration, and MDP Policy Iteration, implemented in Python for solving mazes.