MODEL BASED REINFORCEMENT LEARNING
Experts
- Krishnendu Chatterjee
- Tomás Brázdil
- Shie Mannor
- Jan KretÃnský
- Csaba Szepesvári
- Xianping Guo
- Michael L. Littman
- Pieter Abbeel
- Doina Precup
- Rushikesh Kamalapurkar
- Sergey Levine
- Christel Baier
- Petr Novotný
- AntonÃn Kucera
- Quanquan Gu
- Laurent Doyen
- Vojtech Forejt
- Nathan O. Lambert
- Paul Weng
- Warren E. Dixon
- Dongruo Zhou
- Mahsa Shirmohammadi
- Alessandro Lazaric
- Chelsea Finn
- Ufuk Topcu
- Mengdi Wang
- Sebastian Junges
- Lantao Liu
- Roberto Calandra
- Huan Xu
- Shalabh Bhatnagar
- Joost-Pieter Katoen
- Tobias Meggendorfer
- Jan Peters
- Vivek S. Borkar
- Craig Boutilier
- Benjamin Van Roy
- Hyeong Soo Chang
- Marcus Hutter
Venues
- CoRR
- ICML
- AAAI
- NeurIPS
- CDC
- IEEE Trans. Autom. Control.
- AAMAS
- Math. Oper. Res.
- ICLR
- NIPS
- IJCAI
- ACC
- UAI
- Oper. Res.
- ICRA
- Math. Methods Oper. Res.
- AISTATS
- Autom.
- Oper. Res. Lett.
- IROS
- IEEE Robotics Autom. Lett.
- SIAM J. Control. Optim.
- CONCUR
- CoRL
- COLT
- IJCNN
- ICAPS
- LICS
- IEEE Trans. Neural Networks Learn. Syst.
- Eur. J. Oper. Res.
- Neurocomputing
- IEEE Access
- Discret. Event Dyn. Syst.
- QEST
- Log. Methods Comput. Sci.
- Kybernetika
- ECC
- ICMLA
- CASE
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