| Learning an Interpretable Traffic Signal Control Policy J Ault, JP Hanna, G Sharon Proceedings of the 19th International Conference on Autonomous Agents and …, 2019 | 53 | 2019 |
| Reinforcement learning benchmarks for traffic signal control J Ault, G Sharon Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 50 | 2021 |
| Agent-based Markov modeling for improved COVID-19 mitigation policies R Capobianco, V Kompella, J Ault, G Sharon, S Jong, S Fox, L Meyers, ... Journal of Artificial Intelligence Research 71, 953-992, 2021 | 16 | 2021 |
| Multiagent epidemiologic inference through realtime contact tracing G Sharon, J Ault, P Stone, V Kompella, R Capobianco Autonomous Agents and Multiagent Systems, 2021 | 1 | 2021 |
| Continual Optimistic Initialization for Value-Based Reinforcement Learning S Dey, J Ault, G Sharon Proceedings of the 23rd International Conference on Autonomous Agents and …, 2024 | | 2024 |
| A Framework for Predictable Actor-Critic Control JD Coad, J Ault, J Hykin, G Sharon Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | | 2022 |
| Cooperative Multi-agent Reinforcement Learning Applied to Multi-intersection Traffic Signal Control J AULT, G SHARON | | |
