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Jeff Schneider — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jeff Schneider
25
papers ·
168
citations ·
49
h-index
The University of Texas at San Antonio · Carnegie Mellon University
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Most-cited papers
Affordance-based Reinforcement Learning for Urban Driving
2021 · 9 citations
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning
2019 · 7 citations
Robust Reinforcement Learning via Genetic Curriculum
2022 · 7 citations
Interactive Visualization for Debugging RL
2020 · 5 citations
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
2022 · 5 citations
An Experimental Design Perspective on Model-Based Reinforcement Learning
2021 · 4 citations
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization
2024 · 2 citations
Reasoning with Latent Diffusion in Offline Reinforcement Learning
2023 · 2 citations
Vizarel: A System to Help Better Understand RL Agents
2020 · 1 citations
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning
2020 · 1 citations
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
2023 · 1 citations
Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading
2023 · 1 citations
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following
2024 · 1 citations
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
2024 · 1 citations
Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation
2025
Top co-authors
Ian Char
· 4
Viraj Mehta
· 4
Fahim Tajwar
· 3
John M. Dolan
· 3
Ruslan Salakhutdinov
· 3
Willie Neiswanger
· 3
Adam Villaflor
· 2
Jiayu Chen
· 2
John Dolan
· 2
Shuby Deshpande
· 2
Xintong Duan
· 2
Yutong He
· 2
Topics
Model-Based RL
Exploration
Policy Gradient
Offline RL
Safe RL
Value-Based
RLHF & Alignment
Meta-RL
Multi-Agent
Game AI