Workshops
The 2nd IEEE International Conference on Reinforcement Learning (ICRL 2018)
Articifical intelligence has been dramatically changing people's life. As one of the significant intelligent techniques, reinforcement learning (RL) is a controllable and understandable approach to drive people's life smarter. The core of this techniques uses dynamic programming, which is inspired by behaviourist psychology. The development of reinforcement learning also has a great impact on the deployment of cloud computing and other disciplines in smart computing. This symposium aims to provide researchers with a forum that collects recent achievements in this field.
Topics of particular interest include, but are not limited to:
- Multi-agent adaptive dynamic programming for high performance cloud services
- Hierarchical reinforcement learning
- Reinforcement leraning in Security and privacy
- Data-driven reinforcement learning and control mechanism
- Network-based reinforcement learning mechanism
- Nove paradigm of reinforcement learning
- Software and application of reinforcement learning
- Theoretical improvements for reinforcement learning
- Simulation and emulation platform for reinforcement learning
- Large-scale reinforcement learning
- Deep reinforcement leraning
Paper Submission Guidelines:
Papers should be within 6 pages in length total and use the IEEE Computer Society template. All submissions must describe original research, not published nor currently under review for other workshops, conferences, or journals. Submission implies the willingness of at least one author to attend the workshop and present the paper. Selected best papers will be recommended to the EI indexed journals,
For more information, please contact Symposium Chair: Keke Gai at kekegai@smart-com.org.
The 2nd IEEE International Symposium on Smart Fog (SmartFog 2018)
The rapid development of cloud computing combing with Internet-of-Things (IoT) has dramatically increased the power the network in the industry.
However, a pure cloud computing cannot satisfy the computing demand in big data due to the large-sized data transfers.
Fog/edge computing is considered an alternative solution to the problem of big data communications by adding a new server layer and fully utilizing edge devices.
This symposium aims to collect recent qualty research achievements in the field of fog/edge computing and provide scholars with a platform for sharing their studies, investigations, and research.
Topics of particular interest include, but are not limited to:
- Novel fog/edge framework, architecture, implementation
- Resource management in fog/edge computing
- Security and privacy in fog/edge computing
- Optimization techniques in fog/edge computing
- Intelligent agents deployment in fog/edge computing
- Artificial intelligence applications in fog/edge computing
- 5G communication architecture and protocols for fog/edge paradigm
- Social IoT in fog/edge computing
- Simulation and emulation platform for fog/edge computing
- Algorithms and techniques for computation offloading in fog/edge computing
Paper Submission Guidelines:
Papers should be within 6 pages in length total and use the IEEE Computer Society template. All submissions must describe original research, not published nor currently under review for other workshops, conferences, or journals. Submission implies the willingness of at least one author to attend the workshop and present the paper. Selected best papers will be recommended to the EI indexed journals,
For more information, please contact Symposium Chair: Keke Gai at kekegai@smart-com.org.
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