Anurag Ajay

PhD student, Massachusetts Institute of Technology

Joined

July 2019

Names

Anurag Ajay

Emails

****@berkeley.edu (Confirmed)

****@mit.edu (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

PhD student

Massachusetts Institute of Technology (mit.edu)

2019 – Present

MS student

Massachusetts Institute of Technology (mit.edu)

2017 – 2019

Undergrad student

University of California Berkeley (berkeley.edu)

2013 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Pulkit Agrawal

2019 – Present

Expertise

Reinforcement Learning

2015 – Present

Publications

Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki
- EWRL 2025 Poster
- Readers: Everyone
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient
Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki
- NeurIPS 2024 poster
- Readers: Everyone
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, Benjamin Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan et al. (4 additional authors not shown)
- MoMa WS 2024 Oral
- Readers: Everyone
Compositional Foundation Models for Hierarchical Planning
Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Joshua Tenenbaum, Leslie Kaelbling, Akash Srivastava, Pulkit Agrawal
- FMDM@NeurIPS2023
- Readers: Everyone
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
- NeurIPS 2023 poster
- Readers: Everyone
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation
Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal
- ICML 2023 Poster
- Readers: Everyone
Statistical Learning under Heterogenous Distribution Shift
Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy
- ICML 2023 Poster
- Readers: Everyone
Is Conditional Generative Modeling all you need for Decision-Making?
Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal
- 05 Oct 2022 (modified: 30 Dec 2025)
- FMDM@NeurIPS2022
- Readers: Everyone
Is Conditional Generative Modeling all you need for Decision Making?
Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 notable top 5%
- Readers: Everyone
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning
Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone

View all 16 publications

Co-Authors

View all 46 co-authors