Improved Extraction Assessment through Better Language Models. - Arun Ahuja; Doug Downey (HLT-NAACL, 2010)

Language Models as Representations for Weakly Supervised NLP Tasks. - Fei Huang 008; Alexander Yates; Arun Ahuja; Doug Downey (CoNLL, 2011)

Learning Representations for Weakly Supervised Natural Language Processing Tasks. - Fei Huang 008; Arun Ahuja; Doug Downey; Yi Yang 042; Yuhong Guo; Alexander Yates (Comput. Linguistics, 2014)

Rethinking Data-Intensive Science Using Scalable Analytics Systems. - Frank Austin Nothaft; Matt Massie; Timothy Danford; Zhao Zhang 007; Uri Laserson; Carl Yeksigian; Jey Kottalam; Arun Ahuja; Jeff Hammerbacher; Michael D. Linderman; Michael J. Franklin; Anthony D. Joseph; et al. (SIGMOD Conference, 2015)

Unsupervised Predictive Memory in a Goal-Directed Agent. - Greg Wayne; Chia-Chun Hung; David Amos; Mehdi Mirza; Arun Ahuja; Agnieszka Grabska-Barwinska; Jack W. Rae; Piotr Mirowski; Joel Z. Leibo; Adam Santoro; Mevlana Gemici; Malcolm Reynolds; et al. (CoRR, 2018)

Probing Physics Knowledge Using Tools from Developmental Psychology. - Luis Piloto; Ari Weinstein; Dhruva TB; Arun Ahuja; Mehdi Mirza; Greg Wayne; David Amos; Chia-Chun Hung; Matthew M. Botvinick (CoRR, 2018)

Optimizing Agent Behavior over Long Time Scales by Transporting Value. - Chia-Chun Hung; Timothy P. Lillicrap; Josh Abramson; Yan Wu 010; Mehdi Mirza; Federico Carnevale; Arun Ahuja; Greg Wayne (CoRR, 2018)

Hierarchical Visuomotor Control of Humanoids. - Josh Merel; Arun Ahuja; Vu Pham; Saran Tunyasuvunakool; Siqi Liu 002; Dhruva Tirumala; Nicolas Heess; Greg Wayne (ICLR (Poster), 2019)

Neural Probabilistic Motor Primitives for Humanoid Control. - Josh Merel; Leonard Hasenclever; Alexandre Galashov; Arun Ahuja; Vu Pham; Greg Wayne; Yee Whye Teh; Nicolas Heess (ICLR (Poster), 2019)

Experience Replay for Continual Learning. - David Rolnick; Arun Ahuja; Jonathan Schwarz; Timothy P. Lillicrap; Gregory Wayne (NeurIPS, 2019)

Exploiting Hierarchy for Learning and Transfer in KL-regularized RL. - Dhruva Tirumala; Hyeonwoo Noh; Alexandre Galashov; Leonard Hasenclever; Arun Ahuja; Greg Wayne; Razvan Pascanu; Yee Whye Teh; Nicolas Heess (CoRR, 2019)

Reusable neural skill embeddings for vision-guided whole body movement and object manipulation. - Josh Merel; Saran Tunyasuvunakool; Arun Ahuja; Yuval Tassa; Leonard Hasenclever; Vu Pham; Tom Erez; Greg Wayne; Nicolas Heess (CoRR, 2019)

V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control. - H. Francis Song; Abbas Abdolmaleki; Jost Tobias Springenberg; Aidan Clark; Hubert Soyer; Jack W. Rae; Seb Noury; Arun Ahuja; Siqi Liu 002; Dhruva Tirumala; Nicolas Heess; Dan Belov; et al. (ICLR, 2020)

Probing Emergent Semantics in Predictive Agents via Question Answering. - Abhishek Das; Federico Carnevale; Hamza Merzic; Laura Rimell; Rosalia Schneider; Josh Abramson; Alden Hung; Arun Ahuja; Stephen Clark; Greg Wayne; Felix Hill (ICML, 2020)

Imitating Interactive Intelligence. - Josh Abramson; Arun Ahuja; Arthur Brussee; Federico Carnevale; Mary Cassin; Stephen Clark; Andrew Dudzik; Petko Georgiev; Aurelia Guy; Tim Harley; Felix Hill; Alden Hung; et al. (CoRR, 2020)

Catch & Carry: reusable neural controllers for vision-guided whole-body tasks. - Josh Merel; Saran Tunyasuvunakool; Arun Ahuja; Yuval Tassa; Leonard Hasenclever; Vu Pham; Tom Erez; Greg Wayne; Nicolas Heess (ACM Trans. Graph., 2020)

Imitation by Predicting Observations. - Andrew Jaegle; Yury Sulsky; Arun Ahuja; Jake Bruce; Rob Fergus; Greg Wayne (ICML, 2021)

Creating Multimodal Interactive Agents with Imitation and Self-Supervised Learning. - Josh Abramson; Arun Ahuja; Arthur Brussee; Federico Carnevale; Mary Cassin; Felix Fischer 004; Petko Georgiev; Alex Goldin; Tim Harley; Felix Hill; Peter Conway Humphreys; Alden Hung; et al. (CoRR, 2021)

Learning to Navigate Wikipedia by Taking Random Walks. - Manzil Zaheer; Kenneth Marino; Will Grathwohl; John Schultz; Wendy Shang; Sheila Babayan; Arun Ahuja; Ishita Dasgupta 001; Christine Kaeser-Chen; Rob Fergus (NeurIPS, 2022)

Evaluating Multimodal Interactive Agents. - Josh Abramson; Arun Ahuja; Federico Carnevale; Petko Georgiev; Alex Goldin; Alden Hung; Jessica Landon; Timothy P. Lillicrap; Alistair Muldal; Blake A. Richards; Adam Santoro; Tamara von Glehn; et al. (CoRR, 2022)

Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback. - Josh Abramson; Arun Ahuja; Federico Carnevale; Petko Georgiev; Alex Goldin; Alden Hung; Jessica Landon; Jirka Lhotka; Timothy P. Lillicrap; Alistair Muldal; George Powell; Adam Santoro; et al. (CoRR, 2022)

Behavior Priors for Efficient Reinforcement Learning. - Dhruva Tirumala; Alexandre Galashov; Hyeonwoo Noh; Leonard Hasenclever; Razvan Pascanu; Jonathan Schwarz; Guillaume Desjardins; Wojciech Marian Czarnecki; Arun Ahuja; Yee Whye Teh; Nicolas Heess (J. Mach. Learn. Res., 2022)

Distilling Internet-Scale Vision-Language Models into Embodied Agents. - Theodore R. Sumers; Kenneth Marino; Arun Ahuja; Rob Fergus; Ishita Dasgupta 001 (ICML, 2023)

Collaborating with language models for embodied reasoning. - Ishita Dasgupta 001; Christine Kaeser-Chen; Kenneth Marino; Arun Ahuja; Sheila Babayan; Felix Hill; Rob Fergus (CoRR, 2023)

Hierarchical reinforcement learning with natural language subgoals. - Arun Ahuja; Kavya Kopparapu; Rob Fergus; Ishita Dasgupta 001 (CoRR, 2023)

Imitating Language via Scalable Inverse Reinforcement Learning. - Markus Wulfmeier; Michael Bloesch; Nino Vieillard; Arun Ahuja; Jörg Bornschein; Sandy H. Huang; Artem Sokolov; Matt Barnes 001; Guillaume Desjardins; Alex Bewley; Sarah Bechtle; Jost Tobias Springenberg; et al. (NeurIPS, 2024)

Scaling Instructable Agents Across Many Simulated Worlds. - SIMA Team; Maria Abi Raad; Arun Ahuja; Catarina Barros; Frederic Besse; Andrew Bolt; Adrian Bolton; Bethanie Brownfield; Gavin Buttimore; Max Cant; Sarah Chakera; Stephanie C. Y. Chan; et al. (CoRR, 2024)