Manish Prajapat

4 papers · 2021–2024 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

ICLR (1) ICML (1) NeurIPS (1) UAI (1)

Top co-authors

Andreas Krause (3) Melanie Zeilinger (2) Matteo Turchetta (1) Yisong Yue (1) Alexander Liniger (1) Anima Anandkumar (1) Kamyar Azizzadenesheli (1) Riccardo De Santi (1) Mojmir Mutny (1)

Research topics

Reinforcement Learning (3) Methods (3) Machine Learning (2) Learning Types (2) Artificial Intelligence (1) Mathematics & Optimization (1) Applications (1) Core AI (1) Optimization (1) Optimization & Theory (1)

Keywords

submodular optimization (1) multi-agent reinforcement learning (1) reinforcement learning (1) policy gradient (1) submodular (1) markov decision process (1) multi-agent learning (1) sublinear regret (1) competitive game (1) safety constraint (1) trust region optimization (1) diminishing return (1) informative path planning (1) safe exploration (1) policy gradient method (1) game-theoretic optimization (1) coverage control (1) global reward (1) competitive policy optimization (1) safe coverage control (1)

Papers

Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods ICML 2024 Submodular Reinforcement Learning ICLR 2024 Near-Optimal Multi-Agent Learning for Safe Coverage Control NeurIPS 2022 Competitive policy optimization UAI 2021