There are 1 repository under bellman-equation topic.
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
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
Find the shortest route using A* algorithm and graphs (Route Planner application)
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.
Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".
Reinforcement Learning applied to Autonomous Networking to issue scheduling and decision to drones.
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.
Q-Learning from scratch in Python
Foundations Of Intelligent Learning Agents (FILA) Assignments
calculate the optimum route in a warehouse using the Q-Learning algorithm (Bellman equation)
Reinforcement learning
A visualization tool for policy iteration and value iteration
In this project we use Reinforcement Learning to extract features from an image.
CSCI-561 AI Assignments.
This repository contains a variety of projects related to reinforcement learning, showcasing different approaches to implementing it in various scenarios.
Dynamic Optimization project working on an economic model
Implementation of several algorithms in RL based on Prof. sutton's book
Jupyter notebooks implementing Reinforcement Learning algorithms in Numpy and Tensorflow
Bellman Equation, Needleman-Warsh, Smith-Waterman Algorithms test and written in Ruby
Artificial Intelligence course, Computer Science M.Sc., Ben Gurion University of the Negev, 2021
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
Repository for the code of the "Dynamic Programming and Optimal Control" (DPOC) lecture at the "Institute for Dynamic Systems and Control" at ETH Zurich.
Provides methods to efficiently set up and solve dynamic programming problems of one choice variable using Value Function Iteration and the Endogenous Grid Method.
Policy Iteration for Continuous Dynamics
Using reinforcement learning to train a smartcab how to drive
Design and Implementation of Pac-Man Strategies with Embedded Markov Decision Process in a Dynamic, Non-Deterministic, Fully Observable Environment
WAP Bellman-ford Algorithm python program
Game Tic-Tac-Toe with Q_learning algorithm
Simulation of Routing Algorithms used in communication networks in python
Projects and Models built in Python leveraging PyTorch, implementing Reinforcement Learning algorithms for reward-based tasks.
Optimal solution computation 💹 for macroeconomic models 🤑 with dynamic programming in python 🐍
This project aims to explore the basic concepts of Reinforcement Learning using the FrozenLake environment from the OpenAI Gym library.
Reinforcement learning notebooks