Anurag Ajay
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
5
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | 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 |
| 2023 | ICLR | Is Conditional Generative Modeling all you need for Decision Making? | Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal |
| 2023 | ICML | Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation. | Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal |
| 2023 | ICML | Statistical Learning under Heterogenous Distribution Shift. | Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy |
| 2022 | ICLR | Overcoming The Spectral Bias of Neural Value Approximation. | Ge Yang, Anurag Ajay, Pulkit Agrawal |
| 2022 | ICML | Offline RL Policies Should Be Trained to be Adaptive. | Dibya Ghosh, Anurag Ajay, Pulkit Agrawal, Sergey Levine |
| 2021 | ICLR | OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning. | Anurag Ajay, Aviral Kumar, Pulkit Agrawal, Sergey Levine, Ofir Nachum |
| 2020 | ICRA | Long-Horizon Prediction and Uncertainty Propagation with Residual Point Contact Learners. | Nima Fazeli, Anurag Ajay, Alberto Rodriguez |
| 2019 | ICRA | Combining Physical Simulators and Object-Based Networks for Control. | Anurag Ajay, Maria Bauz, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling |
| 2018 | IROS | Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. | Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauz, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez |
| 2017 | ICRA | Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states. | William Montgomery, Anurag Ajay, Chelsea Finn, Pieter Abbeel, Sergey Levine |