ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper A Sim2real Framework Enabling Decentralized Agents to Execute MADDPG Tasks
Cited 2 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Young-Ho Suh, Sung-Pil Woo, Hyunhak Kim, Dong-Hwan Park
Issue Date
2019-12
Citation
Workshop on Distributed Infrastructures for Deep Learning (DIDL) 2019, pp.1-6
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1145/3366622.3368146
Abstract
Multi-agent RL is a process of training the agents to collaborate with others. We argue that an additional?셱eality gap?? in the system aspects occurs when applying sim2real to the multi-agent RL, especially when performing the?셳ransferred?? collaborative task in the real-world environment. In this paper, we propose an ADO framework enabling decentralized agents to participate in performing collaborative tasks without suffering from the reality gap. Our contribution is threefold. First, we clearly identify and summarize the reality gaps in the context of the sim2real of multi-agent RL. Second, we propose a new system model to deal with system issues derived from when executing collaborative tasks. Third, we design and implement a software framework to support system issues required in developing and executing collaborative tasks in the real world.
KSP Keywords
Collaborative task, Decentralized agents, Real-world, Reality gap, Software Framework, multi-agent, support system, system model