Anurag Ajay

According to our database, Anurag Ajay authored at least 18 papers between 2016 and 2024.

Collaborative distances:

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

2024

Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient.

Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki

CoRR, 2024

An Introduction to Vision-Language Modeling.

Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 2024

OpenEQA: Embodied Question Answering in the Era of Foundation Models.

Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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.

Anurag Ajay, Madhulika Singh, Subhajit Patra, Harshit Ranjan, Ajay Pundir, Shishpal Poonia, Anurag Kumar, Deepak K. Singh, Pankaj Kumar, Moben Ignatius, Prabhat Kumar, Sonam R. Sherpa, Ram K. Malik, Virender Kumar, Sudhanshu Singh, Peter Craufurd, Andrew J. McDonald

Data, February, 2023

Compositional Foundation Models for Hierarchical Planning.

Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal

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.

Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy

Proceedings of the International Conference on Machine Learning, 2023

Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation.

Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal

Proceedings of the International Conference on Machine Learning, 2023

Is Conditional Generative Modeling all you need for Decision Making?

Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Distributionally Adaptive Meta Reinforcement Learning.

Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal

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.

Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2022

Overcoming The Spectral Bias of Neural Value Approximation.

Ge Yang, Anurag Ajay, Pulkit Agrawal

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning.

Anurag Ajay, Aviral Kumar, Pulkit Agrawal, Sergey Levine, Ofir Nachum

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Long-Horizon Prediction and Uncertainty Propagation with Residual Point Contact Learners.

Nima Fazeli, Anurag Ajay, Alberto Rodriguez

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Learning to Navigate Endoscopic Capsule Robots.

Mehmet Turan, Yasin Almalioglu, Hunter B. Gilbert, Faisal Mahmood, Nicholas J. Durr, Helder Araújo, Alp Eren Sari, Anurag Ajay, Metin Sitti

IEEE Robotics Autom. Lett., 2019

Combining Physical Simulators and Object-Based Networks for Control.

Anurag Ajay, Maria Bauzá, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling

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.

Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauzá, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez

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.

William Montgomery, Anurag Ajay, Chelsea Finn, Pieter Abbeel, Sergey Levine

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

2016

Backprop KF: Learning Discriminative Deterministic State Estimators.

Tuomas Haarnoja, Anurag Ajay, Sergey Levine, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016