Dear colleagues,
We are organizing a session on Trustworthy Reinforcement Learning for Energy Systems at INFORMS Annual Meeting 2022. We welcome abstracts for regular talks (15 min) and flash talk (6 min) on topics related to the theme, including but not limited to
- Trustworthy RL algorithms with OR applications (e.g. Energy, Transportation, Healthcare, Quantitative Finance)
- Novel RL approaches to classical OR problems (e.g. combinatorial optimization, mixed-integer programming)
- Real-world deployment, data sets, and simulation
If you are interested in participating, please contact me at
harshaldkaushik@vt.edu. The deadline for Session Chairs to enter Presenters into the system is
May 2, 2022.
We look forward to meeting you at INFORMS Annual Meeting 22!
Best regards,
Harshal
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Harshal Kaushik
Postdoctoral Associate
Virginia Tech
Blacksburg VA
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