Anuj Mahajan

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 28

Top Topics

Function Approximation

Reinforcement Learning

Partially Observable Environments

Top Venues

Publications

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 (2024)
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)
Kinal Mehta, Anuj Mahajan, Pawan Kumar
Effects of Spectral Normalization in Multi-Agent Reinforcement Learning. IJCNN (2023)
Kinal Mehta, Anuj Mahajan, Pawan Kumar
marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization. ECML/PKDD (7) (2023)
Anuj Mahajan, Amy Zhang
Generalization Across Observation Shifts in Reinforcement Learning. CoRR (2023)
Kinal Mehta, Anuj Mahajan, Pawan Kumar
marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization. CoRR (2023)
Mingfei Sun, Benjamin Ellis, Anuj Mahajan, Sam Devlin, Katja Hofmann, Shimon Whiteson
Trust-Region-Free Policy Optimization for Stochastic Policies. CoRR (2023)
Kinal Mehta, Anuj Mahajan, Pawan Kumar
Effects of Spectral Normalization in Multi-agent Reinforcement Learning. CoRR (2022)
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 (2022)
Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson
Generalization in Cooperative Multi-Agent Systems. CoRR (2022)
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
RODE: Learning Roles to Decompose Multi-Agent Tasks. ICLR (2021)
Mingfei Sun, Anuj Mahajan, Katja Hofmann, Shimon Whiteson
SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching. CoRR (2021)
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)
Pascal Van Der Vaart, Anuj Mahajan, Shimon Whiteson
Model based Multi-agent Reinforcement Learning with Tensor Decompositions. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Boehmer, Shimon Whiteson
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning. ICML (2021)
Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Böhmer, Shimon Whiteson
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning. CoRR (2020)
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
RODE: Learning Roles to Decompose Multi-Agent Tasks. CoRR (2020)
Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson
MAVEN: Multi-Agent Variational Exploration. NeurIPS (2019)
Matthew Fellows, Anuj Mahajan, Tim G. J. Rudner, Shimon Whiteson
VIREL: A Variational Inference Framework for Reinforcement Learning. NeurIPS (2019)
Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson
MAVEN: Multi-Agent Variational Exploration. CoRR (2019)
Matthew Fellows, Anuj Mahajan, Tim G. J. Rudner, Shimon Whiteson
VIREL: A Variational Inference Framework for Reinforcement Learning. CoRR (2018)
Anuj Mahajan, Theja Tulabandhula
Symmetry Learning for Function Approximation in Reinforcement Learning. CoRR (2017)
Anuj Mahajan, Theja Tulabandhula
Symmetry Detection and Exploitation for Function Approximation in Deep RL. AAMAS (2017)
Happy Mittal, Anuj Mahajan, Vibhav Gogate, Parag Singla
Lifted Inference Rules With Constraints. NIPS (2015)
Anuj Mahajan, Sharmistha Jat, Shourya Roy
Feature Selection for Short Text Classification using Wavelet Packet Transform. CoNLL (2015)
Lipika Dey, Anuj Mahajan, S. K. Mirajul Haque
Document Clustering for Event Identification and Trend Analysis in Market News. ICAPR (2009)
S. K. Mirajul Haque, Lipika Dey, Anuj Mahajan
A News Analysis and Tracking System. PReMI (2009)
Anuj Mahajan, Lipika Dey, S. K. Mirajul Haque
Mining Financial News for Major Events and Their Impacts on the Market. Web Intelligence (2008)