bellman-equation
There are 52 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
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".
andreabac3/RL-Autonomous-Networking
Reinforcement Learning applied to Autonomous Networking to issue scheduling and decision to drones.
ypleong/SeALS
Solving high dimensional HJB equation using tensor decomposition
piyush2896/Q-Learning
Q-Learning from scratch in Python
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.
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)
nicoRomeroCuruchet/DynamicProgramming
Policy Iteration for Continuous Dynamics
simerplaha/reinforcement-learning
Reinforcement learning
uonliaquat/RL_Visualizer
A visualization tool for policy iteration and value iteration
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.
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.
YuriAntonelli/Bellman-Equation-Economics
Dynamic Optimization project working on an economic model
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
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
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.
Tsmith5151/udacity-smartcab-rl
Using reinforcement learning to train a smartcab how to drive
xujiachang1024/MDP-Pac-Man
Design and Implementation of Pac-Man Strategies with Embedded Markov Decision Process in a Dynamic, Non-Deterministic, Fully Observable Environment
Zilean12/Bellman-ford-Algorithm-
WAP Bellman-ford Algorithm python program
KordianChi/tic-tac-toe_with_Q_learning
Game Tic-Tac-Toe with Q_learning algorithm
syed-azim-git/Routing_Algorithms
Simulation of Routing Algorithms used in communication networks in python
tissimich/Reinforcement-learning
Reinforcement learning notebooks
akain0/Reinforcement-Learning-
Projects and Models built in Python leveraging PyTorch, implementing Reinforcement Learning algorithms for reward-based tasks.
ranieri-unimi/macro-py-massaro-2022
Optimal solution computation 💹 for macroeconomic models 🤑 with dynamic programming in python 🐍
renan-siqueira/reinforcement-learning-frozen-lake
This project aims to explore the basic concepts of Reinforcement Learning using the FrozenLake environment from the OpenAI Gym library.