Lillian J. Ratliff
14 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Sprint 𧬠Topic Evolution
ποΈ
Keyword Collector
(80)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Mathematics & Optimization
(6)
Reinforcement Learning
(6)
Core AI
(6)
Optimization
(6)
Learning Types
(5)
Optimization & Theory
(5)
Methods
(4)
Applications
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Robotics
(1)
Application Areas
(1)
Keywords
reinforcement learning
(3)
regret bound
(2)
stackelberg game
(2)
online learning
(2)
gradient descent
(2)
bandit feedback
(2)
game theory
(1)
non-convex optimization
(1)
multi-task learning
(1)
sample complexity
(1)
policy learning
(1)
loss landscape
(1)
nash equilibrium
(1)
risk minimization
(1)
convergence analysis
(1)
greedy selection
(1)
constraint satisfaction
(1)
knowledge distillation
(1)
multi-agent learning
(1)
policy gradient
(1)
Papers
Achieving Alignment Through Adaptive Play: Helping Optimize Objectives Without Observing Them
UAI 2026
Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing
UAI 2026
Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation
COLT 2026
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
COLT 2025
Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
ICML 2025
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
ICML 2025
Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents
ICML 2025
S4S: Solving for a Fast Diffusion Model Solver
ICML 2025
Initializing Services in Interactive ML Systems for Diverse Users
NeurIPS 2024
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
NeurIPS 2024
Multiplayer Performative Prediction: Learning in Decision-Dependent Games
JMLR 2023
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments
AAAI 2022
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
AAAI 2022
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks
L4DC 2021