Comparative Analysis of A3C and PPO Algorithms in Reinforcement Learning: A Survey on General Environments

This research article presents a comparison between two mainstream Deep Reinforcement Learning (DRL) algorithms, Asynchronous Advantage Actor-Critic (A3C) and Proximal Policy Optimization (PPO), in the context of two diverse environments: CartPole and Lunar Lander. DRL algorithms are widely known fo...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Alberto del Rio, David Jimenez, Javier Serrano
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	A3C CartPole comparison environment complexity Lunar Lander performance analysis
Online Access:	https://ieeexplore.ieee.org/document/10703056/