Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Brian M. Sadler — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Brian M. Sadler
16
papers ·
18
citations ·
67
h-index
Lehigh University · The University of Texas at Austin
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach
2024
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
2022
Identifying Coordination in a Cognitive Radar Network -- A Multi-Objective Inverse Reinforcement Learning Approach
2022
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
2023
Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
2023
Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks
2024
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems
2024
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles
2024
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling
2024
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning
2024
Top co-authors
Wesley A. Suttle
· 8
Amrit Singh Bedi
· 6
Alec Koppel
· 4
Bhrij Patel
· 3
Dinesh Manocha
· 3
Souradip Chakraborty
· 3
Utsav Singh
· 3
Vinay P. Namboodiri
· 2
Amrit Singh Bedi and Dinesh Manocha
· 1
Anit Kumar Sahu
· 1
Derrik E. Asher
· 1
Furong Huang
· 1
Topics
Model-Based RL
Policy Gradient
Meta-RL
Safe RL
RLHF & Alignment
Multi-Agent
Value-Based
Exploration
Game AI