Comparing the Effectiveness of PPO and its Variants in Training AI to Play Game-Reference-Cited by-同舟云学术

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Comparing the Effectiveness of PPO and its Variants in Training AI to Play Game

Published:2023-10-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Cyber-Physical Social Intelligence (ICCSI)
language:
Short-container-title:

Author:

Cui Luobin¹,Tang Ying¹

Affiliation:

1. Rowan University,Department of Electrical and Computer Engineering,Glassboro,NJ,USA,08028

Funder

National Science Foundation

U.S. Environmental Protection Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10303765/10303774/10303944.pdf?arnumber=10303944

Reference13 articles.

1. Optuna

2. Stable-Baselines3: Reliable Reinforcement Learning Implementations;raffin;Journal of Machine Learning Research,2021

3. Unity: A general platform for intelligent agents;juliani;arXiv preprint arXiv 1809 02627,2020

4. Super Mario Bros for OpenAI Gym;kauten,2018

5. Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning;roibu;arXiv 1905 04127,2019

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