Anusha Nagabandi

According to our database, Anusha Nagabandi authored at least 15 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Model-Based Reinforcement Learning via Latent-Space Collocation.

Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

MELD: Meta-Reinforcement Learning from Images via Latent State Models.

Tony Z. Zhao, Anusha Nagabandi, Kate Rakelly, Chelsea Finn, Sergey Levine

CoRR, 2020

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model.

Alex X. Lee, Anusha Nagabandi, Pieter Abbeel, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MELD: Meta-Reinforcement Learning from Images via Latent State Models.

Zihao Zhao, Anusha Nagabandi, Kate Rakelly, Chelsea Finn, Sergey Levine

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL.

Anusha Nagabandi, Chelsea Finn, Sergey Levine

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning.

Anusha Nagabandi, Ignasi Clavera, Simin Liu, Ronald S. Fearing, Pieter Abbeel, Sergey Levine, Chelsea Finn

Proceedings of the 7th International Conference on Learning Representations, 2019

Deep Dynamics Models for Learning Dexterous Manipulation.

Anusha Nagabandi, Kurt Konolige, Sergey Levine, Vikash Kumar

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Learning to Adapt: Meta-Learning for Model-Based Control.

Ignasi Clavera, Anusha Nagabandi, Ronald S. Fearing, Pieter Abbeel, Sergey Levine, Chelsea Finn

CoRR, 2018

Learning Image-Conditioned Dynamics Models for Control of Underactuated Legged Millirobots.

Anusha Nagabandi, Guangzhao Yang, Thomas Asmar, Ravi Pandya, Gregory Kahn, Sergey Levine, Ronald S. Fearing

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning.

Anusha Nagabandi, Gregory Kahn, Ronald S. Fearing, Sergey Levine

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Neural Network Dynamics Models for Control of Under-actuated Legged Millirobots.

Anusha Nagabandi, Guangzhao Yang, Thomas Asmar, Gregory Kahn, Sergey Levine, Ronald S. Fearing

CoRR, 2017

Cooperative inchworm localization with a low cost team.

Brian E. Nemsick, Austin D. Buchan, Anusha Nagabandi, Ronald S. Fearing, Avideh Zakhor

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Expressive Robot Motion Timing.

Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan

Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

2016

A path planning algorithm for single-ended continuous planar robotic ribbon folding.

Anusha Nagabandi, Liyu Wang, Ronald S. Fearing

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2013

Trust During Robot-Assisted Navigation.

Erika Mason, Anusha Nagabandi, Aaron Steinfeld, Christian Bruggeman

Proceedings of the Trust and Autonomous Systems, 2013