conftrace_

stackelberg game

77 papers

Explore in graph

Co-occurring keywords

game theory (854) multi-agent system (1819) adversarial learning (1595) security game (30) reinforcement learning (4352) equilibrium computation (41) nash equilibrium (398) markov decision process (790) online learning (1777) zero-sum game (190)

Papers

Pricing Online LLM Services with Data-Calibrated Stackelberg Routing Game AAAI 2026
Discounted Cuts: A Stackelberg Approach to Network Disruption AAAI 2026
The Power of Initial Investigation in Audit Games AAAI 2026
Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations AAAI 2026
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF JMLR 2025
Commitment to Sparse Strategies in Two-Player Games AAAI 2025
Neural Operators Can Play Dynamic Stackelberg Games JMLR 2025
Optimal Attack and Defense for Reinforcement Learning AAAI 2024
Online Stackelberg Optimization via Nonlinear Control COLT 2024
Game-Theoretic Unlearnable Example Generator AAAI 2024
Principal-Agent Reward Shaping in MDPs AAAI 2024
Contextual Bilevel Reinforcement Learning for Incentive Alignment NIPS 2024
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary IJCAI 2024
Regret Minimization in Stackelberg Games with Side Information NIPS 2024
Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game NIPS 2024
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots RSS 2024
Learning in Online Principal-Agent Interactions: The Power of Menus AAAI 2024
Content Filtering with Inattentive Information Consumers AAAI 2024
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games AAAI 2024
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NIPS 2024
Bandits with Preference Feedback: A Stackelberg Game Perspective NIPS 2024
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents NIPS 2023
Online Learning in Stackelberg Games with an Omniscient Follower ICML 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints ICML 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms NIPS 2023