A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/
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Apr 21, 2025 - Python
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markov-decision-processes
Here are 165 public repositories matching this topic...
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
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Apr 5, 2025 - Python
R.L. methods and techniques.
reinforcement-learning qlearning q-learning markov sarsa gridworld markov-decision-processes tabular-methods
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Nov 17, 2024 - Python
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
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Jul 28, 2025 - Python
Coding Demos from the School of AI's Move37 Course
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Nov 12, 2018 - Python
🌲 Stanford CS 228 - Probabilistic Graphical Models
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Aug 30, 2024 - Python
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
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Jul 22, 2025 - Python
Implementation of value iteration algorithm for calculating an optimal MDP policy
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Dec 23, 2017 - Python
Framework for the simulation and estimation of some finite-horizon discrete choice dynamic programming models.
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Aug 11, 2025 - Python
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 …
reinforcement-learning mcts markov-decision-processes monte-carlo-tree-search sequential-decisions decision-space game-of-hex
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Mar 10, 2024 - Python
AWS Last Mile Route Sequence Optimization
markov-model reinforcement-learning ppm dynamic-programming markov-decision-processes sequence-models last-mile-delivery sagemaker-processing
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Jun 17, 2024 - Python
Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations
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Apr 1, 2022 - Python
Markov Decision Process (MDP) Toolbox for Python
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May 22, 2015 - Python
Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
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Dec 12, 2023 - Python
The goal of the project was to design the logistic model of autonomous robots that would supply garment parts from the Cutting Dept to the Makeup Dept in the shortest time possible and using the most optimized path.
reinforcement-learning qlearning process markov-decision-processes warehouse-management-system optmization
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Nov 18, 2021 - Python
Interface for defining discrete and continuous-space MDPs and POMDPs in python. Compatible with the POMDPs.jl ecosystem.
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Aug 3, 2023 - Python
Baum-Welch for all kind of Markov models
python markov-model machine-learning storm markov-chain model-checking hidden-markov-model markov-decision-processes baum-welch
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Apr 7, 2024 - Python
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Sep 18, 2017 - Python
Reinforcement Learning with the classic snake game
reinforcement-learning neural-network multiprocessing pygame pytorch markov-decision-processes deepq-learning
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Apr 20, 2021 - Python
Reinforcement Learning program that looks to be able to quickly learn to solve a Rubik's Cube
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Jun 22, 2021 - Python
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