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2020 – today
- 2024
[c5]Taylor Dohmen
, Mateo Perez, Fabio Somenzi, Ashutosh Trivedi:
Regular Reinforcement Learning. CAV (3) 2024: 184-208- 2023
- [c4]Taylor Dohmen, Ashutosh Trivedi:
Reinforcement Learning with Depreciating Assets. AAMAS 2023: 2628-2630 - [c3]Stanley Bak, Taylor Dohmen, K. Subramani, Ashutosh Trivedi, Alvaro Velasquez, Piotr Wojciechowski:
The Octatope Abstract Domain for Verification of Neural Networks. FM 2023: 454-472 - [i5]Taylor Dohmen, Ashutosh Trivedi:
Reinforcement Learning with Depreciating Assets. CoRR abs/2302.14176 (2023) - 2022
- [c2]Taylor Dohmen, Noah Topper, George K. Atia, Andre Beckus, Ashutosh Trivedi, Alvaro Velasquez:
Inferring Probabilistic Reward Machines from Non-Markovian Reward Signals for Reinforcement Learning. ICAPS 2022: 574-582 - [i4]Rajeev Alur, Taylor Dohmen, Ashutosh Trivedi:
Composing Copyless Streaming String Transducers. CoRR abs/2209.05448 (2022) - 2021
- [c1]Vrunda Dave, Taylor Dohmen, Shankara Narayanan Krishna, Ashutosh Trivedi:
Regular Model Checking with Regular Relations. FCT 2021: 190-203 - [i3]Taylor Dohmen, Ashutosh Trivedi:
Discounting the Past in Stochastic Games. CoRR abs/2102.06985 (2021) - [i2]Alvaro Velasquez, Andre Beckus, Taylor Dohmen, Ashutosh Trivedi, Noah Topper, George K. Atia:
Learning Probabilistic Reward Machines from Non-Markovian Stochastic Reward Processes. CoRR abs/2107.04633 (2021)
2010 – 2019
- 2019
- [i1]Vrunda Dave, Taylor Dohmen, Shankara Narayanan Krishna, Ashutosh Trivedi:
MSO-Definable Regular Model Checking. CoRR abs/1910.09072 (2019)
Coauthor Index
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