AVERAGE REWARD REINFORCEMENT LEARNING
Experts
- Prasad Tadepalli
- Sridhar Mahadevan
- Serdar Yüksel
- Sennur Ulukus
- Ahmed Arafa
- Peter I. Frazier
- Francesca Lonetti
- Eda Marchetti
- Sarah Zribi
- Xiaohu Wu
- Antonello Calabrò
- DoKyeong Ok
- Tom Jorquera
- Jie Xu
- Diego Klabjan
- Tomohiro Yamaguchi
- Ashley Prater-Bennette
- Bart Selman
- Luca Martino
- Mohammad Ghavamzadeh
- Bhrij Patel
- Yu-Xiang Wang
- Junying Wang
- Vincent J. Maccio
- Ali A. Zaidi
- Shoutao Guo
- Xipeng Qiu
- Shuchang Zhou
- Alec Koppel
- Felix Berkenkamp
- Archie C. Chapman
- Michele Zorzi
- Jorge Baranda
- Guotai Chi
- Stefano Massaroli
- Eszter Vértes
- Luca Benini
- Jing Ai
- Daniel Adelman
Venues
- CoRR
- ICML
- Oper. Res.
- SIAM J. Control. Optim.
- Math. Oper. Res.
- Manag. Sci.
- IEEE Trans. Autom. Control.
- Eur. J. Oper. Res.
- NeurIPS
- AISTATS
- AAAI
- Manuf. Serv. Oper. Manag.
- CDC
- Mach. Learn.
- WiOpt
- CVPR
- ICMLC
- IEEE Internet Things J.
- AAAI/IAAI, Vol. 1
- Math. Methods Oper. Res.
- SMC
- IEEE Trans. Wirel. Commun.
- Queueing Syst. Theory Appl.
- J. Inf. Process. Cybern.
- IJCNN
- IJCAI
- MODELSWARD (Revised Selected Papers)
- INFOCOM
- SIGMETRICS Perform. Evaluation Rev.
- IROS
- ICAPS
- Autom.
- IEEE J. Sel. Areas Commun.
- ECC
- MODELSWARD
- PRICAI
- J. Mach. Learn. Res.
- J. Oper. Res. Soc.
- EMNLP (Findings)
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