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ORCIDAnuj Mahajan
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2020 – today
- 2024
[i18]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:
Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments. CoRR abs/2407.10031 (2024)- [i17]Zhuohao (Jerry) Zhang, Eldon Schoop, Jeffrey Nichols, Anuj Mahajan, Amanda Swearngin:
From Interaction to Impact: Towards Safer AI Agents Through Understanding and Evaluating UI Operation Impacts. CoRR abs/2410.09006 (2024) - 2023
- [c14]Kinal Mehta, Anuj Mahajan, Pawan Kumar:
Effects of Spectral Normalization in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-8 - [c13]Benjamin Ellis, Jonathan Cook, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson:
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2023 - [c12]Kinal Mehta
, Anuj Mahajan, Pawan Kumar:
marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization. ECML/PKDD (7) 2023: 300-304 - [i16]Mingfei Sun, Benjamin Ellis, Anuj Mahajan, Sam Devlin, Katja Hofmann, Shimon Whiteson:
Trust-Region-Free Policy Optimization for Stochastic Policies. CoRR abs/2302.07985 (2023) - [i15]Kinal Mehta, Anuj Mahajan, Pawan Kumar:
marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization. CoRR abs/2303.13808 (2023) - [i14]Anuj Mahajan, Amy Zhang:
Generalization Across Observation Shifts in Reinforcement Learning. CoRR abs/2306.04595 (2023) - 2022
- [i13]Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson:
Generalization in Cooperative Multi-Agent Systems. CoRR abs/2202.00104 (2022) - [i12]Kinal Mehta, Anuj Mahajan, Pawan Kumar:
Effects of Spectral Normalization in Multi-agent Reinforcement Learning. CoRR abs/2212.05331 (2022) - [i11]Benjamin Ellis, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson:
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2212.07489 (2022) - 2021
- [c11]Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang:
RODE: Learning Roles to Decompose Multi-Agent Tasks. ICLR 2021 - [c10]Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Boehmer, Shimon Whiteson:
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning. ICML 2021: 3930-3941 - [c9]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. ICML 2021: 7301-7312 - [i10]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning. CoRR abs/2106.00136 (2021) - [i9]Mingfei Sun, Anuj Mahajan, Katja Hofmann, Shimon Whiteson:
SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching. CoRR abs/2106.03155 (2021) - [i8]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:
Open-Ended Learning Leads to Generally Capable Agents. CoRR abs/2107.12808 (2021) - [i7]Pascal Van Der Vaart, Anuj Mahajan, Shimon Whiteson:
Model based Multi-agent Reinforcement Learning with Tensor Decompositions. CoRR abs/2110.14524 (2021) - [i6]Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar:
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions. CoRR abs/2110.14538 (2021) - 2020
- [i5]Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang:
RODE: Learning Roles to Decompose Multi-Agent Tasks. CoRR abs/2010.01523 (2020) - [i4]Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Böhmer, Shimon Whiteson:
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning. CoRR abs/2010.02974 (2020)
2010 – 2019
- 2019
- [c8]Matthew Fellows, Anuj Mahajan, Tim G. J. Rudner, Shimon Whiteson:
VIREL: A Variational Inference Framework for Reinforcement Learning. NeurIPS 2019: 7120-7134 - [c7]Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson:
MAVEN: Multi-Agent Variational Exploration. NeurIPS 2019: 7611-7622 - [i3]Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson:
MAVEN: Multi-Agent Variational Exploration. CoRR abs/1910.07483 (2019) - 2018
- [i2]Matthew Fellows, Anuj Mahajan, Tim G. J. Rudner, Shimon Whiteson:
VIREL: A Variational Inference Framework for Reinforcement Learning. CoRR abs/1811.01132 (2018) - 2017
- [c6]Anuj Mahajan, Theja Tulabandhula:
Symmetry Detection and Exploitation for Function Approximation in Deep RL. AAMAS 2017: 1619-1621 - [i1]Anuj Mahajan, Theja Tulabandhula:
Symmetry Learning for Function Approximation in Reinforcement Learning. CoRR abs/1706.02999 (2017) - 2015
- [c5]Anuj Mahajan, Sharmistha Jat, Shourya Roy:
Feature Selection for Short Text Classification using Wavelet Packet Transform. CoNLL 2015: 321-326 - [c4]Happy Mittal, Anuj Mahajan, Vibhav Gogate, Parag Singla:
Lifted Inference Rules With Constraints. NIPS 2015: 3519-3527
2000 – 2009
- 2009
- [c3]Lipika Dey, Anuj Mahajan, S. K. Mirajul Haque:
Document Clustering for Event Identification and Trend Analysis in Market News. ICAPR 2009: 103-106 - [c2]S. K. Mirajul Haque, Lipika Dey, Anuj Mahajan:
A News Analysis and Tracking System. PReMI 2009: 231-236 - 2008
- [c1]Anuj Mahajan, Lipika Dey, S. K. Mirajul Haque:
Mining Financial News for Major Events and Their Impacts on the Market. Web Intelligence 2008: 423-426
Coauthor Index
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