| When humans aren't optimal: Robots that collaborate with risk-aware humans M Kwon, E Biyik, A Talati, K Bhasin, DP Losey, D Sadigh Proceedings of the 2020 ACM/IEEE international conference on human-robot …, 2020 | 102 | 2020 |
| Aprel: A library for active preference-based reward learning algorithms E Bıyık, A Talati, D Sadigh 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2022 | 32 | 2022 |
| Pantheonrl: A marl library for dynamic training interactions B Sarkar, A Talati, A Shih, D Sadigh Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13221 …, 2022 | 18 | 2022 |
| When humans aren’t optimal: Robots that collaborate with risk-aware humans. In 2020 15th ACM M Kwon, E Biyik, A Talati, K Bhasin, DP Losey, D Sadigh IEEE International Conference on Human-Robot Interaction (HRI), 43-52, 0 | 7 | |
| Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance O Reingold, JH Shen, A Talati Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21537 …, 2024 | | 2024 |
| Do Dissenting Explanations Help Reduce Over-reliance on AI Predictions? A Talati, JH Shen OSF, 2023 | | 2023 |
| Investigating Depth Properties of Deep Equilibrium Models S Fujimori, R Lian, A Talati | | |
| Preventing the Spread of Wind-Driven Wildfires with Partially Observable Markov Decision Processes K Fronsdal, J Hofgard, A Talati | | |
| When Humans Aren’t Optimal: Agents that Collaborate with Risk-Aware Humans M Kwon, E Biyik, A Talati, K Bhasin, DP Losey, D Sadigh | | |
Dorsa SadighStanford University在 cs.stanford.edu 的电子邮件经过验证
