csdankim / Intelli_Agent_Decision_Making Public

Notifications You must be signed in to change notification settings
Fork 0
Star 3

Using the gym’s FrozenLake game environment as the Markov Decision Processes, Synchronous Value Iteration, Q-Learning and SARSA, and Deep Q-Network were applied in Ray distributed framework. The experiments were conducted in Intel’s AI DevCloud. (Python, Pytorch, Ray, Gym, Numpy)

3 stars 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
.ipynb_checkpoints		.ipynb_checkpoints
.vscode		.vscode
1. Distributed Synchronous Value Iteration		1. Distributed Synchronous Value Iteration
2. Distributed Q-Learning and SARSA		2. Distributed Q-Learning and SARSA
3. Distributed Deep Q-Learning		3. Distributed Deep Q-Learning
README.md		README.md

Repository files navigation

Reinforcement Learning

Project: Implementing RL algorithms with Ray Framework in Intel AI DevCloud

Ray Framwork for building ditributed application

What is Ray? Please click.

Intel AI DevCloud for RL environment

Please click.

This project consists of 3 parts:

1. Distributed Synchronous Value Iteration

2. Distributed Q-Learning and SARSA

3. Distributed Deep Q-Network

About

Using the gym’s FrozenLake game environment as the Markov Decision Processes, Synchronous Value Iteration, Q-Learning and SARSA, and Deep Q-Network were applied in Ray distributed framework. The experiments were conducted in Intel’s AI DevCloud. (Python, Pytorch, Ray, Gym, Numpy)

Report repository

Releases

No releases published

Packages

No packages published

Languages