conftrace_

regret bound

1926 papers

Explore in graph

Also known as

RB

Co-occurring keywords

online learning (1777) multi-armed bandit (1098) contextual bandit (381) stochastic optimization (1060) reinforcement learning (4352) online algorithm (445) upper confidence bound (197) markov decision process (790) thompson sampling (237) online convex optimization (165)

Papers

Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NIPS 2022
Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem NIPS 2022
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NIPS 2022
Lipschitz Bandits with Batched Feedback NIPS 2022
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms NIPS 2022
Effective Dimension in Bandit Problems under Censorship NIPS 2022
Uplifting Bandits NIPS 2022
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs NIPS 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds NIPS 2022
Shuffle Private Linear Contextual Bandits ICML 2022
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification NIPS 2022
Neural Contextual Bandits without Regret AISTATS 2022
Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini’s Regret COLT 2022
Expected Regret and Pseudo-Regret are Equivalent When the Optimal Arm is Unique JMLR 2022
Optimal Control with Learning on the Fly: System with Unknown Drift L4DC 2022
Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits NIPS 2022
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits NIPS 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees NIPS 2022
Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits JMLR 2022
Corruption-Robust Contextual Search through Density Updates COLT 2022
Can Q-learning be Improved with Advice? COLT 2022
Regret, stability & fairness in matching markets with bandit learners AISTATS 2022
Matching in Multi-arm Bandit with Collision NIPS 2022
Thompson Sampling with a Mixture Prior AISTATS 2022
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022