no-regret learning

Efficient Decentralized Learning of Generalized Quantal Response Equilibrium UAI 2026 Learning with Simulators: No Regret in a Computationally Bounded World COLT 2026 Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games L4DC 2026 Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs AAAI 2025 Contract Design Under Approximate Best Responses ICML 2025 Do LLM Agents Have Regret? A Case Study in Online Learning and Games ICLR 2025 Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank ICLR 2025 Generalized Principal-Agent Problem with a Learning Agent ICLR 2025 Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning ICLR 2025 Rate-Preserving Reductions for Blackwell Approachability COLT 2025 Responding to Promises: No-regret learning against followers with memory L4DC 2025 Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games ICML 2025 The Relationship Between No-Regret Learning and Online Conformal Prediction ICML 2025 Tractable Multi-Agent Reinforcement Learning through Behavioral Economics ICLR 2025 Õ(T^-1) Convergence to (coarse) correlated equilibria in full-information general-sum Markov games L4DC 2024 BanditQ:Fair Bandits with Guaranteed Rewards UAI 2024 Contracting with a Learning Agent NeurIPS 2024 Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games AISTATS 2024 Honor Among Bandits: No-Regret Learning for Online Fair Division NeurIPS 2024 Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games ICLR 2024 No-Regret Learning for Fair Multi-Agent Social Welfare Optimization NeurIPS 2024 No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests NeurIPS 2024 No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes UAI 2024 Randomized Truthful Auctions with Learning Agents NeurIPS 2024