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

Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024
Forced Exploration in Bandit Problems AAAI 2024
Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning NIPS 2024
Piecewise-Stationary Bandits with Knapsacks NIPS 2024
Improved Analysis for Bandit Learning in Matching Markets NIPS 2024
Contextual Decision-Making with Knapsacks Beyond the Worst Case NIPS 2024
When Is Inductive Inference Possible? NIPS 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024
Bandits with Concave Aggregated Reward IJCAI 2024
PRODuctive bandits: Importance Weighting No More NIPS 2024
Bandits with Ranking Feedback NIPS 2024
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts JMLR 2024
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NIPS 2024
Queueing Matching Bandits with Preference Feedback NIPS 2024
On the Model-Misspecification in Reinforcement Learning AISTATS 2024
Optimal Multiclass U-Calibration Error and Beyond NIPS 2024
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process NIPS 2024
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NIPS 2024
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NIPS 2024
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024
NeoRL: Efficient Exploration for Nonepisodic RL NIPS 2024