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Markov Decision Processes Python Packages

Python packages with the GitHub topic markov-decision-processes. Sorted by relevance, with stars and monthly downloads.
Kim-Hammar
csle-collector

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.

10K 146 27
Kim-Hammar
csle-ryu

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.

8K 146 27
Kim-Hammar
csle-common

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.

7K 146 27
Kim-Hammar
csle-attacker

Scripts for emulated cyber attacks in CSLE

7K 146 27
Kim-Hammar
csle-defender

Scripts for emulated defenses in CSLE

7K 146 27
Kim-Hammar
csle-system-identification

Scripts for system identification in CSLE

7K 146 27
Kim-Hammar
csle-agents

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.

7K 146 27
Kim-Hammar
csle-cli

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.

6K 146 27
Kim-Hammar
csle-base

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.

6K 146 27
Kim-Hammar
csle-rest-api

CSLE REST API

6K 146 27
Kim-Hammar
csle-cluster

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.

6K 146 27
Kim-Hammar
gym-csle-stopping-game

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.

5K 146 27
DES-Lab
aalpy

An Automata Learning Library Written in Python

5K 233 40
Kim-Hammar
gym-csle-intrusion-response-game

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.

5K 146 27
Kim-Hammar
csle-tolerance

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.

4K 146 27
Kim-Hammar
gym-csle-apt-game

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.

3K 146 27
Kim-Hammar
gym-csle-cyborg

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.

3K 146 27
h2r
pomdp-py

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

3K 277 54
Kim-Hammar
csle-attack-profiler

Library with MITRE attack profiler for CSLE

2K 146 27
scope-lab-vu
ns-gym

A simulation toolkit for non-stationary Markov decision processes

1K 11 2
JuliaPOMDP
quickpomdps

Describing and Solving POMDPs in Python

126 25 5
eonof
upgrade-policy-optimizer

Python library aimed at solving stochastic decision problems with value iteration.

110 0 0
thiagopbueno
mdpproblog

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

99 10 4
lccasagrande
gridgym

An OpenAI Gym environment for resource and job management problems.

71 4 2
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