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https://github.com/JuliaPOMDP/POMDPs.jl
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
artificial-intelligence control-systems julia markov-decision-processes mdps pomdps python reinforcement-learning reinforcement-learning-algorithms
Last synced: 13 Jun 2024
![](https://github.com/JuliaPOMDP.png)
https://github.com/omerbsezer/Reinforcement_learning_tutorial_with_demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
a3c actor-critic deep-reinforcement-learning dyna dynamic-programming imitation-learning machine-learning meta-learning policy-gradient pomdps q-learning reinforcement-learning sarsa td-learning tutorial
Last synced: 17 Apr 2024
![](https://github.com/omerbsezer.png)
https://github.com/Svalorzen/AI-Toolbox
A C++ framework for MDPs and POMDPs with Python bindings
artificial-intelligence c-plus-plus markov-decision-processes mdps planning pomdps python reinforcement-learning
Last synced: 05 Apr 2024
![](https://github.com/Svalorzen.png)