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Lillian J. Ratliff — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Lillian J. Ratliff
10
papers ·
53
citations ·
18
h-index
University of Washington
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Constrained Upper Confidence Reinforcement Learning
2020 · 29 citations
Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games
2019 · 9 citations
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks
2020 · 9 citations
Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula
2023 · 5 citations
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
2021 · 1 citations
Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
2026
TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
2026
dUltra: Ultra-Fast Diffusion Language Models via Reinforcement Learning
2025
General sum stochastic games with networked information flows
2022
On the Limitations and Possibilities of Nash Regret Minimization in Zero-Sum Matrix Games under Noisy Feedback
2023
Top co-authors
Liyuan Zheng
· 3
Shirui Chen
· 2
Angela Jin Yang
· 1
Arnab Maiti
· 1
Banghua Zhu
· 1
Baosen Zhang
· 1
Benjamin J. Chasnov
· 1
Boling Yang
· 1
Byron Boots
· 1
Cole Harrison
· 1
Dieter Fox
· 1
Eric Mazumdar
· 1
Topics
Game AI
Multi-Agent
Model-Based RL
Policy Gradient
Value-Based
RLHF & Alignment
Exploration
Safe RL