Decaying Clipping Range in Proximal Policy Optimization

02/20/2021
by   Mónika Farsang, et al.
0

Proximal Policy Optimization (PPO) is among the most widely used algorithms in reinforcement learning, which achieves state-of-the-art performance in many challenging problems. The keys to its success are the reliable policy updates through the clipping mechanism and the multiple epochs of minibatch updates. The aim of this research is to give new simple but effective alternatives to the former. For this, we propose linearly and exponentially decaying clipping range approaches throughout the training. With these, we would like to provide higher exploration at the beginning and stronger restrictions at the end of the learning phase. We investigate their performance in several classical control and locomotive robotic environments. During the analysis, we found that they influence the achieved rewards and are effective alternatives to the constant clipping method in many reinforcement learning tasks.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

11/11/2020

Proximal Policy Optimization via Enhanced Exploration Efficiency

Proximal policy optimization (PPO) algorithm is a deep reinforcement lea...
12/04/2020

Proximal Policy Optimization Smoothed Algorithm

Proximal policy optimization (PPO) has yielded state-of-the-art results ...
06/25/2019

Optimistic Proximal Policy Optimization

Reinforcement Learning, a machine learning framework for training an aut...
07/15/2019

Proximal Policy Optimization with Mixed Distributed Training

Instability and slowness are two main problems in deep reinforcement lea...
02/12/2018

Taking gradients through experiments: LSTMs and memory proximal policy optimization for black-box quantum control

In this work we introduce the application of black-box quantum control a...
10/05/2018

PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation

Proximal Policy Optimization (PPO) is a highly popular model-free reinfo...
03/13/2020

Taylor Expansion Policy Optimization

In this work, we investigate the application of Taylor expansions in rei...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.