198 results on '"Lillian J. Ratliff"'
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2. Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits.
3. Emergent specialization from participation dynamics and multi-learner retraining.
4. Effect of Adaptation Rate and Cost Display in a Human-AI Interaction Game.
5. Distribution-Free Guarantees for Systems with Decision-Dependent Noise.
6. Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning.
7. Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games.
8. Approximate Regions of Attraction in Learning with Decision-Dependent Distributions.
9. Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula.
10. Consistent Conjectural Variations Equilibria: Characterization and Stability for a Class of Continuous Games.
11. Multiplayer Performative Prediction: Learning in Decision-Dependent Games.
12. Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization.
13. Learning in Stochastic Monotone Games with Decision-Dependent Data.
14. Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum Extensive Form Games.
15. Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms.
16. Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments.
17. Improved Rates for Derivative Free Gradient Play in Strongly Monotone Games∗.
18. Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows.
19. Koopman Operator Applications in Signalized Traffic Systems.
20. Consistent Conjectural Variations Equilibrium: Characterization & Stability for a Class of Continuous Games.
21. Query-Efficient Algorithms to Find the Unique Nash Equilibrium in a Two-Player Zero-Sum Matrix Game.
22. Initializing Services in Interactive ML Systems for Diverse Users.
23. Convergent First-Order Methods for Bi-level Optimization and Stackelberg Games.
24. Coupled Gradient Flows for Strategic Non-Local Distribution Shift.
25. Logarithmic Regret for Matrix Games against an Adversary with Noisy Bandit Feedback.
26. Human adaptation to adaptive machines converges to game-theoretic equilibria.
27. Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits.
28. Online Learning in Periodic Zero-Sum Games.
29. Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games.
30. Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks.
31. Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games.
32. Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games.
33. A SUPER* Algorithm to Optimize Paper Bidding in Peer Review.
34. Constrained Upper Confidence Reinforcement Learning.
35. Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study.
36. Stability of Gradient Learning Dynamics in Continuous Games: Scalar Action Spaces.
37. Minimax Optimization with Smooth Algorithmic Adversaries.
38. Instance-optimal PAC Algorithms for Contextual Bandits.
39. Disturbance Decoupling for Gradient-Based Multi-Agent Learning With Quadratic Costs.
40. Adaptive Incentive Design.
41. Mobilytics-Gym: A Simulation Framework for Analyzing Urban Mobility Decision Strategies.
42. Sequential Experimental Design for Transductive Linear Bandits.
43. Tolling for Constraint Satisfaction in Markov Decision Process Congestion Games.
44. Convergence Analysis of Gradient-Based Learning in Continuous Games.
45. Distributed Learning in Network Games: a Dual Averaging Approach.
46. Incentive Design for Temporal Logic Objectives.
47. Multi-Dimensional Continuous Type Population Potential Games.
48. Local Nash Equilibria are Isolated, Strict Local Nash Equilibria in 'Almost All' Zero-Sum Continuous Games.
49. Sensitivity Analysis for Markov Decision Process Congestion Games.
50. Gaussian Mixture Models for Parking Demand Data.
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