OPEB: Open physical environment benchmark for artificial intelligence

OPEB: Open physical environment benchmark for artificial intelligence

Abstract:

Artificial Intelligence methods to solve continuous-control tasks have made significant progress in recent years. However, these algorithms have important limitations and still need significant improvement to be used in industry and real-world applications. This means that this area is still in an active research phase. To involve a large number of research groups, standard benchmarks are needed to evaluate and compare proposed algorithms. In this paper, we propose a physical environment benchmark framework to facilitate collaborative research in this area by enabling different research groups to integrate their designed benchmarks in a unified cloud-based repository and also share their actual implemented benchmarks via the cloud. We demonstrate the proposed framework using an actual implementation of the classical mountain-car example and present the results obtained using a Reinforcement Learning algorithm.

OPEB: Open physical environment benchmark for artificial intelligence

Date of Conference: 11-13 Sept. 2017
Date Added to IEEE Xplore12 October 2017
 ISBN Information:
Publisher: IEEE
Conference Location: Modena, Italy, Italy

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