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Mohammadhosein Hasanbeig
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2020 – today
- 2022
- [c8]Mohammadhosein Hasanbeig, Daniel Kroening, Alessandro Abate:
LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning. QEST 2022: 217-231 - 2021
- [j1]Mingyu Cai
, Mohammadhosein Hasanbeig, Shaoping Xiao, Alessandro Abate
Modular Deep Reinforcement Learning for Continuous Motion Planning With Temporal Logic. IEEE Robotics Autom. Lett. 6(4): 7973-7980 (2021) - [c7]Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening:
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. AAAI 2021: 7647-7656 - [c6]Mirco Giacobbe, Mohammadhosein Hasanbeig, Daniel Kroening, Hjalmar Wijk:
Shielding Atari Games with Bounded Prescience. AAMAS 2021: 1507-1509 - [i11]Mirco Giacobbe, Mohammadhosein Hasanbeig, Daniel Kroening, Hjalmar Wijk:
Shielding Atari Games with Bounded Prescience. CoRR abs/2101.08153 (2021) - [i10]Mingyu Cai, Mohammadhosein Hasanbeig, Shaoping Xiao, Alessandro Abate, Zhen Kan:
Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic. CoRR abs/2102.12855 (2021) - 2020
- [b1]Mohammadhosein Hasanbeig:
Safe and certified reinforcement learning with logical constraints. University of Oxford, UK, 2020 - [c5]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Cautious Reinforcement Learning with Logical Constraints. AAMAS 2020: 483-491 - [c4]Mohammadhosein Hasanbeig, Daniel Kroening, Alessandro Abate:
Deep Reinforcement Learning with Temporal Logics. FORMATS 2020: 1-22 - [i9]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Cautious Reinforcement Learning with Logical Constraints. CoRR abs/2002.12156 (2020) - [i8]Thomas J. Ringstrom, Mohammadhosein Hasanbeig, Alessandro Abate:
Jump Operator Planning: Goal-Conditioned Policy Ensembles and Zero-Shot Transfer. CoRR abs/2007.02527 (2020)
2010 – 2019
- 2019
- [c3]Mohammadhosein Hasanbeig, Daniel Kroening, Alessandro Abate:
Towards Verifiable and Safe Model-Free Reinforcement Learning. OVERLAY@AI*IA 2019: 1 - [c2]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Logically-Constrained Neural Fitted Q-iteration. AAMAS 2019: 2012-2014 - [c1]Mohammadhosein Hasanbeig, Yiannis Kantaros, Alessandro Abate, Daniel Kroening, George J. Pappas
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees. CDC 2019: 5338-5343 - [i7]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Certified Reinforcement Learning with Logic Guidance. CoRR abs/1902.00778 (2019) - [i6]Mohammadhosein Hasanbeig, Yiannis Kantaros, Alessandro Abate, Daniel Kroening, George J. Pappas, Insup Lee:
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees. CoRR abs/1909.05304 (2019) - [i5]Lim Zun Yuan, Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Modular Deep Reinforcement Learning with Temporal Logic Specifications. CoRR abs/1909.11591 (2019) - [i4]Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu
DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. CoRR abs/1911.10244 (2019) - 2018
- [i3]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Logically-Correct Reinforcement Learning. CoRR abs/1801.08099 (2018) - [i2]Mohammadhosein Hasanbeig, Lacra Pavel
From Game-theoretic Multi-agent Log Linear Learning to Reinforcement Learning. CoRR abs/1802.02277 (2018) - [i1]Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Logically-Constrained Neural Fitted Q-Iteration. CoRR abs/1809.07823 (2018)
Coauthor Index
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