markov-decision-processes

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

python reinforcement-learning julia artificial-intelligence pomdps reinforcement-learning-algorithms control-systems markov-decision-processes mdps

UpdatedNov 2, 2025
Julia

Svalorzen /AI-Toolbox

Star660

A C++ framework for MDPs and POMDPs with Python bindings

python c-plus-plus reinforcement-learning artificial-intelligence planning pomdps markov-decision-processes mdps

UpdatedMar 18, 2025
C++

joanby /curso-algebra-lineal

Star507

Curso de Álgebra Lineal

algebra linear-algebra markov-chain linear-programming vectors udemy markov-decision-processes udemy-curso juan-gabriel-gomila

UpdatedJul 18, 2024
HTML

ds4dm /ecole

Star356

Extensible Combinatorial Optimization Learning Environments

ml gym markov-decision-processes scip combinatorial-optimization

UpdatedApr 24, 2025
C++

odow /SDDP.jl

Star340

A JuMP extension for Stochastic Dual Dynamic Programming

optimization julia optimal-control markov-decision-processes jump stochastic-optimization benders-decomposition sddp stochastic-programming markov-decision-process multistage-stochastic-optimization stochastic-integer sddip multistage-stochastic-integer stochastic-dual-dynamic-programming

UpdatedNov 5, 2025
Julia

h2r /pomdp-py

Star261

A framework to build and solve POMDP problems. Documentation:https://h2r.github.io/pomdp-py/

python cython pomdps easy-to-use markov-decision-processes pomdp

UpdatedOct 28, 2025
Python

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.

deep-reinforcement-learning dqn mdp offloading deep-q-network markov-decision-processes resource-management performance-evaluation mec ddqn edge-computing lstm-networks network-optimization d3qn

UpdatedApr 5, 2025
Python

ivanbelenky /RL

Star200

R.L. methods and techniques.

reinforcement-learning qlearning q-learning markov sarsa gridworld markov-decision-processes tabular-methods

UpdatedNov 17, 2024
Python

DES-Lab /AALpy

Star199

An Automata Learning Library Written in Python

automata markov-chain finite-state-machine kv markov-decision-processes dfa context-free-grammar model-based-testing test-case-generation probabilistic-automata automata-learning pushdown-automata model-learning model-mining lstar equivalence-oracles alergia rpni

UpdatedNov 4, 2025
Python

colinskow /move37

Star182

Coding Demos from the School of AI's Move37 Course

reinforcement-learning dynamic-programming markov-decision-processes

UpdatedNov 12, 2018
Python

florist-notes /CS228_PGM

Star146

🌲 Stanford CS 228 - Probabilistic Graphical Models

stanford-university bayesian markov-decision-processes probabilistic-graphical-models cs228

UpdatedAug 30, 2024
Python

Kim-Hammar /csle

Star134

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

reinforcement-learning deep-learning cybersecurity game-theory markov-decision-processes self-learning markov-games