bellman-equation
There are 62 repositories under bellman-equation topic.
sudharsan13296/Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
pmichaillat/math-for-macro
Source files of the course "Mathematics for Macroeconomics"
krichelj/PyDiffGame
PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems
LaurentVeyssier/Route-planner-algorithm
Find the shortest route using A* algorithm and graphs (Route Planner application)
antonio-f/Dynamic-Programming
Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncated Policy Iteration, Value Iteration . From Udacity's Deep Reinforcement Learning Nanodegree program.
nicolaloi/Dynamic-Programming-and-Optimal-Control
Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".
robotsorcerer/levelsetpy
A GPU-accelerated toolbox for hyperbolic PDEs in a weaker (viscosity) sense. It leverages the integral to the solution of the conservation of momentum problem (being equivalent to the derivative of Hamilton-Jacobi equations) in one spatial dimension. We resolve such hyperbolic differential equations using wave-front propagating schemes on a spatial-by-spatial dimension in resolving the classical value in dynamic programming (respectively optimal control and differential games) problems.
andreabac3/RL-Autonomous-Networking
Reinforcement Learning applied to Autonomous Networking to issue scheduling and decision to drones.
nicoRomeroCuruchet/DynamicProgramming
Policy Iteration for Continuous Dynamics
ypleong/SeALS
Solving high dimensional HJB equation using tensor decomposition
elliotvilhelm/gridworld_policy_evaluation
Implementation of policy evaluation using dynamic programming to approximate a value function using an equiprobable random policy on Frozen Lake Grid World
piyush2896/Q-Learning
Q-Learning from scratch in Python
Suchetaaa/CS747-Assignments
Foundations Of Intelligent Learning Agents (FILA) Assignments
LaurentVeyssier/Optimizing-Warehouse-Flows-with-Q-Learning
calculate the optimum route in a warehouse using the Q-Learning algorithm (Bellman equation)
simerplaha/reinforcement-learning
Reinforcement learning
uonliaquat/RL_Visualizer
A visualization tool for policy iteration and value iteration
YuriAntonelli/Bellman-Equation-Economics
Dynamic Optimization project working on an economic model
ar8372/Image-Feature-extraction-using-Reinforcement-Learning
In this project we use Reinforcement Learning to extract features from an image.
Prarthana25/Artificial-Intelligence
CSCI-561 AI Assignments.
xujiachang1024/MDP-Pac-Man
Design and Implementation of Pac-Man Strategies with Embedded Markov Decision Process in a Dynamic, Non-Deterministic, Fully Observable Environment
kyomangold/ETH-DynamicProgrammingOptimalControl
Repository for the code of the "Dynamic Programming and Optimal Control" (DPOC) lecture at the "Institute for Dynamic Systems and Control" at ETH Zurich.
Manohara-Ai/Snake-Q-Learning
An experimental Snake game where a Deep Q-Network (DQN) agent learns to navigate the environment, avoid obstacles, and find food using reinforcement learning techniques.
michaelbennett99/BellmanSolver.jl
Provides methods to efficiently set up and solve dynamic programming problems of one choice variable using Value Function Iteration and the Endogenous Grid Method.
spoluan/reinforcement_learning
This repository contains a variety of projects related to reinforcement learning, showcasing different approaches to implementing it in various scenarios.
alizindari/Reinforcement-Learning
Implementation of several algorithms in RL based on Prof. sutton's book
bmarroc/reinforcement-learning
Jupyter notebooks implementing Reinforcement Learning algorithms in Numpy and Tensorflow
bwe587/GridWorld
My Grid World Application. Presented in class on April 7th, 2023.
cdeliens/dynamic_programming_algorithms
Bellman Equation, Needleman-Warsh, Smith-Waterman Algorithms test and written in Ruby
EmmanuelEzenwere/AIND-AIprojects
Portfolio of AI projects developed during my Udacity AI Nanodegree, covering Planning AI, Constraint Satisfaction, Hidden Markov Models, and Search algorithms.
imankarimi/snake-game-ai
This project implements the classic Snake game with a reinforcement learning agent that learns how to play using a Replay Q-Network (RQN) and Linear Q-Learning. The agent is trained through trial and error by receiving rewards for beneficial actions and penalties for harmful actions
krichelj/AI_BGU_2021
Artificial Intelligence course, Computer Science M.Sc., Ben Gurion University of the Negev, 2021
krichelj/gymAsteroids
Asteroids evasion using OpenAI's gym Reinforcement Learning (RL) package - M.Sc. Thesis in Computer Science, Ben Gurion University Ben Gurion University of the Negev, Israe
Tsmith5151/udacity-smartcab-rl
Using reinforcement learning to train a smartcab how to drive
Zilean12/Bellman-ford-Algorithm-
WAP Bellman-ford Algorithm python program
suraj5424/Q-Learning-for-Blackjack-in-different-environments
This repository implements Q-Learning in Blackjack, comparing it with random action selection and basic strategies. Includes experiments with various strategies, rule variations, and deck numbers to evaluate performance.