In recent years, the optimization and computational intelligence methods have achieved remarkable results in domains including games, robotics, circuit design, and autonomous driving. This workshop will bring together researchers working in the field of optimization, reinforcement learning, and evolutionary computation, and it will also cover cutting-edge research both in academic and industrial communities. It aims to help interested researchers both inside and outside of the field gain a high-level view about the current state-of-the-art works and potential directions and applications for future.
| Time | Talker | Talk Title | Affiliation | ||
| 09:00-09:40 | 李勇 | AI-empowered Energy Consumption Optimization and Carbon Emissions Reduction in Launching 5G Mobile Networks |
清华大学 | ||
| 09:00-09:40 | 张启超 | Opportunities and Challenges of Reinforcement Learning in Autonomous Driving | 中国科学院 自动化研究所 |
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| 10:20-10:30 | Coffee Break | ||||
| 10:30-11:10 | 钱超 | Multi-objective Evolutionary Learning: Advances in Theories and Algorithms | 南京大学 | ||
| 11:10-11:50 | 杨宁 | Reinforcement Learning for Operation Research | 中国科学院 自动化研究所 |
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