Panithecracker/Generic-Markov-decision-process-solver
Creation of a generic program capable of computing the optimal policy for an arbitrary Markov Decision Process defined by the user via text file. specifying its states, actions, costs and transition probabilities. It corresponds to a project for my AI course.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jun 02, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Panithecracker/Generic-Markov-decision-process-solver"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Farama-Foundation/stable-retro
Retro games for Reinforcement Learning Research
MatPoliquin/stable-retro-scripts
Train models on retro games. AI vs AI contest. Pytorch C++ plugin for RetroArch that let you...
nadavbh12/Retro-Learning-Environment
The Retro Learning Environment (RLE) -- a learning framework for AI
Avalon-Benchmark/avalon
A 3D video game environment and benchmark designed from scratch for reinforcement learning research
svpino/cs7641-assignment4
CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes