Sadler, Brian M

13 publications

ICML 2024 PIPER: Primitive-Informed Preference-Based Hierarchical Reinforcement Learning via Hindsight Relabeling Utsav Singh, Wesley A Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Bedi

ICMLW 2024 PIPER: Primitive-Informed Preference-Based Hierarchical Reinforcement Learning via Hindsight Relabeling Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Bedi

ICMLW 2024 PIPER: Primitive-Informed Preference-Based Hierarchical Reinforcement Learning via Hindsight Relabeling Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Singh Bedi

AISTATS 2024 Sampling-Based Safe Reinforcement Learning for Nonlinear Dynamical Systems Wesley Suttle, Vipul Kumar Sharma, Krishna Chaitanya Kosaraju, Sivaranjani Seetharaman, Ji Liu, Vijay Gupta, Brian M Sadler

ICML 2024 Towards Global Optimality for Practical Average Reward Reinforcement Learning Without Mixing Time Oracles Bhrij Patel, Wesley A Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit Bedi

ICML 2023 Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic Wesley A Suttle, Amrit Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha

ICCV 2023 LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M Sadler, Wei-Lun Chao, Yu Su

AAAI 2023 Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha

ICML 2022 On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M Sadler, Pratap Tokekar, Alec Koppel

CVPR 2022 One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su

JMLR 2019 Decentralized Dictionary Learning over Time-Varying Digraphs Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler

AAAI 2019 Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun

AAAI 2019 Mining Entity Synonyms with Efficient Neural Set Generation Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han