Apoorva Sharma
Apoorva Sharma
PhD Candidate, Stanford University
Verified email at stanford.edu
Cited by
Cited by
Network Offloading Policies for Cloud Robotics: a Learning-based Approach
S Chinchali, A Sharma, J Harrison, A Elhafsi, D Kang, E Pergament, ...
arXiv preprint arXiv:1902.05703, 2019
Meta-learning priors for efficient online bayesian regression
J Harrison, A Sharma, M Pavone
International Workshop on the Algorithmic Foundations of Robotics, 318-337, 2018
Barc: Backward reachability curriculum for robotic reinforcement learning
B Ivanovic, J Harrison, A Sharma, M Chen, M Pavone
2019 International Conference on Robotics and Automation (ICRA), 15-21, 2019
Continuous meta-learning without tasks
J Harrison, A Sharma, C Finn, M Pavone
arXiv preprint arXiv:1912.08866, 2019
Control Adaptation via Meta-Learning Dynamics
J Harrison, A Sharma, R Calandra, M Pavone
Workshop on Meta-Learning at NeurIPS 2018, 2018
Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework
T Lew, A Sharma, J Harrison, M Pavone
arXiv preprint arXiv:2008.11700, 2020
Robust and adaptive planning under model uncertainty
A Sharma, J Harrison, M Tsao, M Pavone
Proceedings of the International Conference on Automated Planning and …, 2019
Safe Learning and Control using Meta-Learning
T Lew, A Sharma, J Harrison, M Pavone
Frame interpolation using generative adversarial networks
M Koren, K Menda, A Sharma
Stanford University: Stanford, CA, USA, 2017
Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks
A Sharma, N Azizan, M Pavone
arXiv preprint arXiv:2102.12567, 2021
Convolutional Neural Networks for Video Frame Interpolation
A Sharma, K Menda, M Koren
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