Cloud Reasoning Model-Based Exploration for Deep Reinforcement Learning

LI Chenxi; CAO Lei; CHEN Xiliang; ZHANG Yongliang; XU Zhixiong; PENG Hui; DUAN Liwen

doi:10.11999/JEIT170347

Volume 40 Issue 1

Jan. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(1): 244-248

LI Chenxi, CAO Lei, CHEN Xiliang, ZHANG Yongliang, XU Zhixiong, PENG Hui, DUAN Liwen. Cloud Reasoning Model-Based Exploration for Deep Reinforcement Learning[J]. Journal of Electronics & Information Technology, 2018, 40(1): 244-248. doi: 10.11999/JEIT170347

Citation:

LI Chenxi, CAO Lei, CHEN Xiliang, ZHANG Yongliang, XU Zhixiong, PENG Hui, DUAN Liwen. Cloud Reasoning Model-Based Exploration for Deep Reinforcement Learning[J]. Journal of Electronics & Information Technology, 2018, 40(1): 244-248. doi: 10.11999/JEIT170347

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Cloud Reasoning Model-Based Exploration for Deep Reinforcement Learning

doi: 10.11999/JEIT170347

1.
(Institute of Command Information System, PLA University of Science and Technology, Nanjing 210007, China)
2.
(College of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China)

Funds:

The Advanced Research of China Electronics Technology Group Corporation (6141B08010101), China Postdoctoral Science Foundation (2015T81081, 2016M602974), The Jiangsu Natural Science Foundation for Youths (BK20140075)

Received Date: 2017-04-18
Rev Recd Date: 2017-09-30
Publish Date: 2018-01-19

Abstract

Abstract

Reinforcement learning which has self-improving and online learning properties gets the policy of tasks through the interaction with environment. But the mechanism of trial-and-error usually leads to a large number of training episodes. Knowledge includes human experience and the cognition of environment. This paper tries to introduce the qualitative rules into the reinforcement learning, and represents these rules through the cloud reasoning model. It is used as the heuristics exploration strategy to guide the action selection. Empirical evaluation is conducted in OpenAI Gym environment called CartPole-v2 and the result shows that using exploration strategy based on the cloud reasoning model significantly enhances the performance of the learning process.
- Cloud reasoning,
- Deep reinforcement learning,
- Knowledge,
- Exploration strategy

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References(13)

References

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