Anurag Ajay

Orcid: 0000-0001-7502-6166

According to our database1, Anurag Ajay authored at least 15 papers between 2016 and 2023.

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Bibliography

2023
Multi-Year On-Farm Trial Data on the Performance of Long- and Short-Duration Wheat Varieties against Sowing Dates in the Eastern Indo-Gangetic Plain of India.
Data, February, 2023

Compositional Foundation Models for Hierarchical Planning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Statistical Learning under Heterogenous Distribution Shift.
Proceedings of the International Conference on Machine Learning, 2023

Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation.
Proceedings of the International Conference on Machine Learning, 2023

Is Conditional Generative Modeling all you need for Decision Making?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Distributionally Adaptive Meta Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Offline RL Policies Should Be Trained to be Adaptive.
Proceedings of the International Conference on Machine Learning, 2022

Overcoming The Spectral Bias of Neural Value Approximation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Long-Horizon Prediction and Uncertainty Propagation with Residual Point Contact Learners.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Learning to Navigate Endoscopic Capsule Robots.
IEEE Robotics Autom. Lett., 2019

Combining Physical Simulators and Object-Based Networks for Control.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Backprop KF: Learning Discriminative Deterministic State Estimators.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016


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