Aastha Acharya

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Autonomous Agents

Reinforcement Learning

Handling Uncertainty

Generative Model

Top Venues

Publications

Aastha Acharya, Caleb Lee, Marissa D'Alonzo, Jared Shamwell, Nisar R. Ahmed, Rebecca L. Russell
Deep Modeling of Non-Gaussian Aleatoric Uncertainty. CoRR (2024)
Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories. CoRR (2023)
Nicholas Conlon, Aastha Acharya, Nisar R. Ahmed
AAAI 2022 Fall Symposium: Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA). CoRR (2023)
Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories. ICRA (2023)
Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed
Competency Assessment for Autonomous Agents using Deep Generative Models. IROS (2022)
Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed
Uncertainty Quantification for Competency Assessment of Autonomous Agents. CoRR (2022)
Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed
Competency Assessment for Autonomous Agents using Deep Generative Models. CoRR (2022)
Aastha Acharya, Rebecca L. Russell, Nisar R. Ahmed
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data. CoRR (2020)