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Jean-Raphaël Gaglione
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2020 – today
- 2024
- [i9]Shayan Meshkat Alsadat, Jean-Raphaël Gaglione, Daniel Neider, Ufuk Topcu, Zhe Xu:
Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine. CoRR abs/2402.07069 (2024) - 2023
- [c6]Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Interpretable Temporal Properties from Positive Examples Only. AAAI 2023: 6507-6515 - [c5]Yash Paliwal, Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Xiaoming Duan, Ufuk Topcu, Zhe Xu:
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams. CD-MAKE 2023: 123-140 - [c4]Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu:
Reinforcement Learning with Reward Machines in Stochastic Games. ECAI 2023: 1068-1075 - [i8]Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu:
Reinforcement Learning With Reward Machines in Stochastic Games. CoRR abs/2305.17372 (2023) - [i7]Yash Paliwal, Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Xiaoming Duan, Ufuk Topcu, Zhe Xu:
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams. CoRR abs/2306.13732 (2023) - [i6]Yunhao Yang, Jean-Raphaël Gaglione, Sandeep Chinchali, Ufuk Topcu:
Specification-Driven Video Search via Foundation Models and Formal Verification. CoRR abs/2309.10171 (2023) - 2022
- [j1]Jean-Raphaël Gaglione, Daniel Neider, Rajarshi Roy, Ufuk Topcu, Zhe Xu:
MaxSAT-based temporal logic inference from noisy data. Innov. Syst. Softw. Eng. 18(3): 427-442 (2022) - [i5]Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Interpretable Temporal Properties from Positive Examples Only. CoRR abs/2209.02650 (2022) - [i4]Jean-Raphaël Gaglione, Rajarshi Roy, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Temporal Logic Properties: an Overview of Two Recent Methods. CoRR abs/2212.00916 (2022) - [i3]Yunhao Yang, Jean-Raphaël Gaglione, Ufuk Topcu:
Learning Automata-Based Task Knowledge Representation from Large-Scale Generative Language Models. CoRR abs/2212.01944 (2022) - 2021
- [c3]Daniel Neider, Jean-Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu:
Advice-Guided Reinforcement Learning in a non-Markovian Environment. AAAI 2021: 9073-9080 - [c2]Jean-Raphaël Gaglione, Daniel Neider, Rajarshi Roy, Ufuk Topcu, Zhe Xu:
Learning Linear Temporal Properties from Noisy Data: A MaxSAT-Based Approach. ATVA 2021: 74-90 - [c1]Nasim Baharisangari, Jean-Raphaël Gaglione, Daniel Neider, Ufuk Topcu, Zhe Xu:
Uncertainty-Aware Signal Temporal Logic Inference. VSTTE 2021: 61-85 - [i2]Jean-Raphaël Gaglione, Daniel Neider, Rajarshi Roy, Ufuk Topcu, Zhe Xu:
Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach. CoRR abs/2104.15083 (2021) - [i1]Nasim Baharisangari, Jean-Raphaël Gaglione, Daniel Neider, Ufuk Topcu, Zhe Xu:
Uncertainty-Aware Signal Temporal logic. CoRR abs/2105.11545 (2021)
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