markov-decision-processes

There are 353 repositories under markov-decision-processes topic.

  • AI_Project_4

    Language:Python15

  • lifescripts

    Automating various decisions stochastically, starting with my current coin-based intermittent fasting and dice-based kettlebell.

    Language:Racket21

  • quickpomdps

    Interface for defining discrete and continuous-space MDPs and POMDPs in python. Compatible with the POMDPs.jl ecosystem.

    Language:Python18

  • Artificial_Intelligence

    Implemented Search Algorithms

    Language:C++17

  • npgi

    Non-linear policy graph improvement - planning for Dec-POMDPs

    Language:C++16

  • jajapy

    Baum-Welch for all kind of Markov models

    Language:Python15

  • MDP_Path_Planning

    This repository contains the MATLAB code to devise an optimal policy for the motion of the robot given the obstacles and world boundaries. This file contains implementation to a specific environment wiht known parameters and obstacles, but can easily be modified or generalized for any environment. The code was linked to the V-Rep simulation environment and tested.

    Language:MATLAB15

  • Rubiks-Cube

    Reinforcement Learning program that looks to be able to quickly learn to solve a Rubik's Cube

    Language:Python15

  • mdpy

    Markov Decision Processes in Python

    Language:HTML15

  • MCTS-agent-cythonized

    MONTE Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games and planning problems. In this project I used a board game called "HEX" as a platform to test different simulation strategies in MCTS field.

    Language:Python14

  • pomdp

    R package for Partially Observable Markov Decision Processes

    Language:R14

  • cs7641-assignment4

    CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

    Language:Java14

  • snakeAi

    Reinforcement Learning with the classic snake game

    Language:Python13

  • ws-18-19-deep-learning-tutorial

    Deep Learning and Artificial Intelligence Tutorial @ LMU WS 2018/19

    Language:Jupyter Notebook12

  • POMCP.jl

    Julia Implementation of the POMCP algorithm for solving POMDPs

    Language:Jupyter Notebook12

  • multiagent-prediction-reward

    Multi-agent active perception with prediction rewards

    Language:C++10

  • Machine_Learning

    Georgia Tech - OMSCS - CS7641 - Machine Learning Repository

    Language:Python10

  • jist2016

    Implementation of the Paper "Entity Linking in Web Tables with Multiple Linked Knowledge Bases"

    Language:Python10

  • Artificial-Intelligence

    Artificial Intelligence + Deep Learning

    Language:Jupyter Notebook9

  • Reinforcement-Learning-Algorithms

    Step by Step Reinforcement Learning Tutorials.

    Language:Jupyter Notebook9

  • Collision-Avoidance-using-Markov-Decision-Process

    Avoiding car collisions using MDP

    Language:Python9

  • Pacman-Projects

    Principles & Applications of Artificial Intelligence at Amirkabir University of Technology course projects

    Language:Python8

  • MDPbiome

    microbiome engineering through prescriptive perturbations

    Language:R8

  • Markov-Decision-Process-Value-Iteration-Policy-Iteration-Visualization

    Computing an optimal Markov Decision Process (MDP) policy with Value Iteration and Policy Iteration

    Language:Java8

  • link

    Undergraduate graduation project (Entity Linking System in Web Tables with Multiple Linked Knowledge Bases) at SEU.

    Language:HTML8

  • Randoms

    Tinkering and Playing around!

    Language:Python8

  • ReinforcementLearning

    Reinforcement Learning algorithms with nothing abstracted away

    Language:Python7

  • Academic-Coursework

    Academic coursework completed as a Computer Science Student

    Language:HTML7

  • mdp-problog

    MDP-ProbLog is a framework to represent and solve (infinite-horizon) MDPs specified by probabilistic logic programming.

    Language:Python7

  • Game-Playing-Intelligent-Agent

    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.

    Language:Python6

  • Markov-Chain

    Markov Chain overview and their implementations in Finance

    Language:Jupyter Notebook6

  • pydpomdp

    Python package for Dec-POMDP files in the .dpomdp format

    Language:C++6

  • markov-chain

    Library for computations with markov chains and probability matrices

    Language:TypeScript6

  • lunar-lander-deep-rl

    Solving OpenAI Gym's Lunar Lander environment using Deep Reinforcement Learning

    Language:Python6

  • homework2-MDPs

    The homework for Cutting-Edge of Deep Learning, aka CEDL, from NTHU

    Language:Jupyter Notebook6

  • PyABM

    Markov decision process simulation model for household activity-travel behavior

    Language:Python6