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2020 – today
- 2024
[c5]Milad Kazemi, Mateo Perez, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Alvaro Velasquez:
Assume-Guarantee Reinforcement Learning. AAAI 2024: 21223-21231- [c4]Veena Krish, Nicola Paoletti, Milad Kazemi, Scott A. Smolka, Amir Rahmati:
Biosignal Authentication Considered Harmful Today. USENIX Security Symposium 2024 - [i7]Milad Kazemi, Jessica Lally, Ekaterina Tishchenko, Hana Chockler, Nicola Paoletti:
Counterfactual Influence in Markov Decision Processes. CoRR abs/2402.08514 (2024) - [i6]Tom Kuipers, Renukanandan Tumu
, Shuo Yang, Milad Kazemi, Rahul Mangharam, Nicola Paoletti:
Conformal Off-Policy Prediction for Multi-Agent Systems. CoRR abs/2403.16871 (2024) - 2023
- [i5]Milad Kazemi, Mateo Perez, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Alvaro Velasquez:
Assume-Guarantee Reinforcement Learning. CoRR abs/2312.09938 (2023) - 2022
- [c3]Milad Kazemi, Mateo Perez, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Alvaro Velasquez:
Translating Omega-Regular Specifications to Average Objectives for Model-Free Reinforcement Learning. AAMAS 2022: 732-741 - [c2]Milad Kazemi:
Data-driven Approaches for Formal Synthesis of Dynamical Systems. AAMAS 2022: 1852-1853 - [i4]Milad Kazemi, Rupak Majumdar, Mahmoud Salamati, Sadegh Soudjani, Ben Wooding:
Data-Driven Abstraction-Based Control Synthesis. CoRR abs/2206.08069 (2022) - [i3]Abolfazl Lavaei, Mateo Perez, Milad Kazemi, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Majid Zamani:
Compositional Reinforcement Learning for Discrete-Time Stochastic Control Systems. CoRR abs/2208.03485 (2022) - [i2]Milad Kazemi, Nicola Paoletti:
Towards Causal Temporal Reasoning for Markov Decision Processes. CoRR abs/2212.08712 (2022) - 2020
- [c1]Milad Kazemi, Sadegh Soudjani:
Formal Policy Synthesis for Continuous-State Systems via Reinforcement Learning. IFM 2020: 3-21 - [i1]Milad Kazemi, Sadegh Soudjani:
Formal Policy Synthesis for Continuous-Space Systems via Reinforcement Learning. CoRR abs/2005.01319 (2020)
Coauthor Index
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