Anuj Mahajan

According to our database, Anuj Mahajan authored at least 25 papers between 2008 and 2024.

Collaborative distances:

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

2024

From Interaction to Impact: Towards Safer AI Agents Through Understanding and Evaluating UI Operation Impacts.

Zhuohao (Jerry) Zhang, Eldon Schoop, Jeffrey Nichols, Anuj Mahajan, Amanda Swearngin

CoRR, 2024

Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments.

Siddharth Nayak, Adelmo Morrison Orozco, Marina Ten Have, Vittal Thirumalai, Jackson Zhang, Darren Chen, Aditya Kapoor, Eric Robinson, Karthik Gopalakrishnan, James Harrison, Brian Ichter, Anuj Mahajan, Hamsa Balakrishnan

CoRR, 2024

2023

Generalization Across Observation Shifts in Reinforcement Learning.

Anuj Mahajan, Amy Zhang

CoRR, 2023

Trust-Region-Free Policy Optimization for Stochastic Policies.

Mingfei Sun, Benjamin Ellis, Anuj Mahajan, Sam Devlin, Katja Hofmann, Shimon Whiteson

CoRR, 2023

marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization.

Kinal Mehta, Anuj Mahajan, Pawan Kumar

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning.

Benjamin Ellis, Jonathan Cook, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Effects of Spectral Normalization in Multi-Agent Reinforcement Learning.

Kinal Mehta, Anuj Mahajan, Pawan Kumar

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning.

Benjamin Ellis, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson

CoRR, 2022

Generalization in Cooperative Multi-Agent Systems.

Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson

CoRR, 2022

2021

Reinforcement Learning in Factored Action Spaces using Tensor Decompositions.

Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

CoRR, 2021

Model based Multi-agent Reinforcement Learning with Tensor Decompositions.

Pascal Van Der Vaart, Anuj Mahajan, Shimon Whiteson

CoRR, 2021

Open-Ended Learning Leads to Generally Capable Agents.

Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michaël Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki

CoRR, 2021

SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching.

Mingfei Sun, Anuj Mahajan, Katja Hofmann, Shimon Whiteson

CoRR, 2021

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning.

Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar

Proceedings of the 38th International Conference on Machine Learning, 2021

UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning.

Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Boehmer, Shimon Whiteson

Proceedings of the 38th International Conference on Machine Learning, 2021

RODE: Learning Roles to Decompose Multi-Agent Tasks.

Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang

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

2019

MAVEN: Multi-Agent Variational Exploration.

Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

VIREL: A Variational Inference Framework for Reinforcement Learning.

Matthew Fellows, Anuj Mahajan, Tim G. J. Rudner, Shimon Whiteson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Symmetry Learning for Function Approximation in Reinforcement Learning.

Anuj Mahajan, Theja Tulabandhula

CoRR, 2017

Symmetry Detection and Exploitation for Function Approximation in Deep RL.

Anuj Mahajan, Theja Tulabandhula

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2015

Lifted Inference Rules With Constraints.

Happy Mittal, Anuj Mahajan, Vibhav Gogate, Parag Singla

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Feature Selection for Short Text Classification using Wavelet Packet Transform.

Anuj Mahajan, Sharmistha Jat, Shourya Roy

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

2009

A News Analysis and Tracking System.

S. K. Mirajul Haque, Lipika Dey, Anuj Mahajan

Proceedings of the Pattern Recognition and Machine Intelligence, 2009

Document Clustering for Event Identification and Trend Analysis in Market News.

Lipika Dey, Anuj Mahajan, S. K. Mirajul Haque

Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

2008

Mining Financial News for Major Events and Their Impacts on the Market.

Anuj Mahajan, Lipika Dey, S. K. Mirajul Haque

Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008