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Anuj Mahajan

10 papers · 2015–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+3 more ↓ πŸ—ΊοΈ Taxonomy Completionist (20) πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🌍 Conference Polyglot Β· Silver 🧬 Topic Evolution
πŸ—ƒοΈ Keyword Collector (56) πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze

Venues

NeurIPS (5) ICML (2) CoNLL (1) ICCV (1) ICLR (1)

Top co-authors

Shimon Whiteson (6) Mikayel Samvelyan (3) Bei Peng (2) Tarun Gupta (2) Karthik Gopalakrishnan (1) brian ichter (1) Vittal Thirumalai (1) Xinlei Pan (1) Mingfei Sun (1) Amanda Swearngin (1)

Research topics

Reinforcement Learning (7) Artificial Intelligence (6) Machine Learning (6) Core AI (6) Methods (6) Learning Types Β· Machine Learning (4) Deep Learning (3) Learning Types Β· Deep Learning (3) Optimization & Theory (3) Robotics (1) Applications (1) Bayesian & Probabilistic (1) Capabilities (1)

Keywords

multi-agent reinforcement learning (5) cooperative multi-agent (3) value function (2) sample efficiency (1) visual grounding (1) procedural generation (1) policy learning (1) tensor decomposition (1) low-rank approximation (1) map inference (1) bellman equation (1) multi-agent planning (1) partial observability (1) multi-step planning (1) lifted inference (1) human-robot interaction (1) temporal abstraction (1) maximum a posteriori inference (1) partially observable environment (1) variational inference (1)

Papers

UINavBench: A Framework for Comprehensive Evaluation of Interactive Digital Agents ICCV 2025 Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments NeurIPS 2024 SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023 RODE: Learning Roles to Decompose Multi-Agent Tasks ICLR 2021 Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning ICML 2021 UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021 MAVEN: Multi-Agent Variational Exploration NeurIPS 2019 VIREL: A Variational Inference Framework for Reinforcement Learning NeurIPS 2019 Feature Selection for Short Text Classification using Wavelet Packet Transform CoNLL 2015 Lifted Inference Rules With Constraints NeurIPS 2015