Popular GitHub Repositories for Value Iteration

POMDPs in Python.

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

Solving a Rubik's Cube and 15 Puzzle using the Deep Reinforcement Learning and Search

[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning

Basic Reinforcement Learning algorithms

Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)

GPU-accelerated MDP solvers in Python with JAX

Implemented reinforcement learning algorithms, including Value-Iteration and Q-Learning, for a 2D grid world Markov Decision Process resembling a Pac-man game. Also applied the Mini-Max algorithm and common path-planning techniques such as A*, Dijkstra, and bidirectional search.

Distributed Implementation of Value Iteration, built on top of Ray Framework.

JAX implementation of Generalization and Exploration via Randomized Value Functions (Osband et al., 2016)

solving a simple 4*4 Gridworld almost similar to openAI gym frozenlake using value iteration method Reinforcement Learning

Distributed MPI based Heterogenous GPU Solver for Markov Decision Processes (MDP)

This project is dealing with the single track road problem and propose a novel method to train a rl agent which relies on an inaccurate human model.

a Python library that implements various reinforcement learning algorithms using PyTorch and Gymnasium

This project focuses on implementing value iteration and Q-learning algorithms. We first test these agents in a Gridworld environment, then apply them to control a simulated robot (Crawler) and to the Pacman game. (Source: Berkeley's public projects and labs)