A repo for implementing reinforcement learning algorithms
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Updated
Jan 29, 2021 - Python
A repo for implementing reinforcement learning algorithms
Implementation of "Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making”(ICML 2020) in Python
CS420: Reinforcement Learning
IASA (Artificial Intelligence of Autonomous Systems) class projects and resources of LEIM course at ISEL
University of Tehran-Reinforcement Learning Fall 2022
Markov Chains are solved using R programming
Computing optimal strategy for the dice game 421
Program solves an MDP using value iteration
Implemented a new variation of Pac-Man using AI
Modelling of complex deterioration models and failure criteria in DBNs and POMDPs
CS520 AI Projects
Fourth assignment for Machine Learning course @USI19/20.
Project that experiments with algorithms used to solve Markov Decision Processes
Creation of grid world environment through pygame package and optimizing the motion of agent through modified q-learning process. Video can be found here: https://www.youtube.com/watch?v=-nXH8k9gRLM
The programming assignments of the course Introduction to Artificial Intelligence in Ben Gurion University, Israel
This project is a C# implementation of the popular game "Frozen Lake" and an AI agent that can play the game using the Q-learning algorithm. The game consists of a grid of tiles, some of which are safe to walk on, while others will cause the player to receive damage.
Repository for the final project for Procesos Estocásticos. S1.63.10
Implementation of a basic Q Learning algorithm in the OpenAI's gym environment
AI project for constructing safe and efficient self-driving car with A+ grade
Observe your machine learning to play a video game
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