Brian M Sadler

3 papers · 2022–2024 · 3 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

AISTATS (1) ICCV (1) ICML (1)

Top co-authors

Souradip Chakraborty (1) Jiaman Wu (1) Alec Koppel (1) Ji Liu (1) Chan Hee Song (1) Vipul Kumar Sharma (1) Wesley Suttle (1) Yu Su (1) Anjaly Parayil (1) Clayton Washington (1)

Research topics

Artificial Intelligence (2) Machine Learning (2) Reinforcement Learning (2) Core AI (2) Methods (2) Natural Language Processing (1) Robotics (1) Applications (1) Learning Paradigms (1) Learning Types (1) Optimization & Theory (1) Resources & Methods (1) Systems (1)

Keywords

reinforcement learning (1) policy gradient (1) plan generation (1) safe reinforcement learning (1) continuous action space (1) score function (1) nonlinear dynamical system (1) embodied agent (1) gradient tracking (1) control barrier function (1) safe control (1) quadcopter control (1) policy mirror ascent (1) large language model (1) heavy-tailed parameterization (1) sampling-based method (1) few-shot planning (1) physical grounding (1)

Papers

Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems AISTATS 2024 LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models ICCV 2023 On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces ICML 2022