conftrace_

regret bound

1926 papers

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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

Bandits with Concave Aggregated Reward IJCAI 2024
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024
Group-wise oracle-efficient algorithms for online multi-group learning NIPS 2024
Causal Bandits with General Causal Models and Interventions AISTATS 2024
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously NIPS 2024
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources AISTATS 2024
Tight Rates for Bandit Control Beyond Quadratics NIPS 2024
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion AISTATS 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024
Maximizing utility in multi-agent environments by anticipating the behavior of other learners NIPS 2024
Efficient Learning in Polyhedral Games via Best-Response Oracles AAAI 2024
Combinatorial Stochastic-Greedy Bandit AAAI 2024
Forced Exploration in Bandit Problems AAAI 2024
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NIPS 2024
Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays AISTATS 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024
No-Regret Bandit Exploration based on Soft Tree Ensemble Model NIPS 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024
Online Learning in Contextual Second-Price Pay-Per-Click Auctions AISTATS 2024
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NIPS 2024
Information Capacity Regret Bounds for Bandits with Mediator Feedback JMLR 2024
Sum-max Submodular Bandits AISTATS 2024