Researches advanced in credit assignment in reinforcement learning

Juerui Li

doi:10.1117/12.2641891

10 November 2022 Researches advanced in credit assignment in reinforcement learning

Juerui Li

Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 123481I (2022) https://doi.org/10.1117/12.2641891
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China

Abstract

The credit assignment has always been one of the hot tasks in the reinforcement learning community, which aims to estimating and deducing the reward for each agent during the decision-making process. In this paper, based on extensive literature research, we first review the existing solutions to the credit assignment issue, and compare the impact of different credit assignment strategies on algorithms’ final performance. In addition, we also summarize the main challenges of credit assignment and give some suggestions for the future research directions.

Citation Download Citation

Juerui Li "Researches advanced in credit assignment in reinforcement learning", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 123481I (10 November 2022); https://doi.org/10.1117/12.2641891

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