Brian M. Sadler

5 papers · 2019–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird

Venues

ICML (3) CVPR (1) JMLR (1)

Top co-authors

Amrit Bedi (3) Wesley A Suttle (3) Bhrij Patel (2) Alec Koppel (2) Dinesh Manocha (2) Jihyung Kil (1) Chan Hee Song (1) Vinay P. Namboodiri (1) Vaneet Aggarwal (1) Gesualdo Scutari (1)

Research topics

Reinforcement Learning (3) Machine Learning (2) Robotics (2) Methods (2) Optimization & Theory (2) Artificial Intelligence (1) Computer Vision (1) Analysis (1) Applications · Robotics (1) Applications · Reinforcement Learning (1) Capabilities (1) Core AI (1) Core Methods (1) Domain-Specific (1)

Keywords

multilevel monte carlo (2) mixing time (2) vision-language navigation (1) policy gradient (1) multimodal learning (1) global convergence (1) embodied ai (1) instruction following (1) decentralized optimization (1) nonstationarity (1) human feedback (1) successive convex approximation (1) autonomous agent (1) average reward (1) sparse reward (1) long-horizon planning (1) agent system (1) average-reward reinforcement learning (1) multi-agent network (1) time-varying graph (1)

Papers

PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling ICML 2024 Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles ICML 2024 Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic ICML 2023 One Step at a Time: Long-Horizon Vision-and-Language Navigation With Milestones CVPR 2022 Decentralized Dictionary Learning Over Time-Varying Digraphs JMLR 2019