Inventory Control with Lateral Transshipment Using Proximal Policy Optimization, DOCS2023
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Updated
Oct 1, 2023 - Python
Inventory Control with Lateral Transshipment Using Proximal Policy Optimization, DOCS2023
Applied MDP with Value Iteration to optimally choose path for an agent in a Stochastic Environment, in order to maximize its rewards
example for a presentation about RL.
A mouse finds the cheese with the help of reinforcement learning (value iteration).
this repository contains my codes for fundamentals of AI course projects
Please don't feed a gamblers addiction
Solving Taxi-v3 problem of python Gym library.
Implementation of path planning algorithms.
implementations of basic RL algorithms
Several Projects about AI in Python.
implement reinforcement learning algorithms in Pacman
This is using the UC Berkeley codebase for the PacMan AI project. This project utilizes search algorithms for artificial intelligence agents, and utilizes reinforcement learning.
AI-based dicegame using the value iteration algorithm
Pacman and Ghost Agent | Python | Artificial Intelligence | Search-based Algorithms | Learning-based Algorithms
CSCI561
The problem statement is to build an intelligent agent in a probabilistic environment that captures the prey as efficiently as possible.
this is the third pacman project for course AI of UC Berkeley done as the third project of course AI basics and applications of AUT
Deep Q-Learning | Value and Policy iteration
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