Contrastive Learning Methods for Deep Reinforcement Learning

Author:

Wang Di1ORCID,Hu Mengqi1ORCID

Affiliation:

1. Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference51 articles.

1. Remember and forget for experience replay;novati;Proc Int Conf Mach Learn,2019

2. A deeper look at experience replay;zhang;arXiv 1712 01275,2017

3. Deep Deterministic Policy Gradient With Compatible Critic Network

4. Diffusion policies as an expressive policy class for offline reinforcement learning;wang;arXiv 2208 06193,2022

5. Continual reinforcement learning with multi-timescale replay;kaplanis;arXiv 2004 07530,2020

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