conftrace_

no-regret learning

67 papers

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Co-occurring keywords

game theory (854) nash equilibrium (398) multi-agent system (1819) online learning (1777) regret bound (1926) coarse correlated equilibrium (31) multi-armed bandit (1098) no-regret algorithm (36) regret minimization (315) zero-sum game (190)

Papers

Near-Optimal No-Regret Learning Dynamics for General Convex Games NIPS 2022
No-Regret Learning in Partially-Informed Auctions ICML 2022
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation NIPS 2022
No-Regret Learning in Time-Varying Zero-Sum Games ICML 2022
Game Redesign in No-regret Game Playing IJCAI 2022
Improved Pure Exploration in Linear Bandits with No-Regret Learning IJCAI 2022
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving ICML 2022
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP ICML 2022
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms AAAI 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes AISTATS 2021
No-regret learning with high-probability in adversarial Markov decision processes UAI 2021
Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract) IJCAI 2021
Decentralized Learning in Online Queuing Systems NIPS 2021
Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions AAAI 2021
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information COLT 2021
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium COLT 2021
Near-Optimal No-Regret Learning in General Games NIPS 2021
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning CVPR 2020
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games ICML 2020
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix NIPS 2020
Tight last-iterate convergence rates for no-regret learning in multi-player games NIPS 2020
No-regret Learning in Price Competitions under Consumer Reference Effects NIPS 2020
Gradient-free Online Learning in Continuous Games with Delayed Rewards ICML 2020