regret bound

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback ICML 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NeurIPS 2024 Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning NeurIPS 2024 Quantum Kernelized Bandits UAI 2024 Queueing Matching Bandits with Preference Feedback NeurIPS 2024 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Randomized Truthful Auctions with Learning Agents NeurIPS 2024 RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NeurIPS 2024 Reconciling Spatial and Temporal Abstractions for Goal Representation ICLR 2024 Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024 Regret Analysis of Repeated Delegated Choice AAAI 2024 Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures AISTATS 2024 Reinforcement Learning and Regret Bounds for Admission Control ICML 2024 Reinforcement Learning with Lookahead Information NeurIPS 2024 Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024 Robust agents learn causal world models ICLR 2024 Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024 RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions NeurIPS 2024 Safe Exploitative Play with Untrusted Type Beliefs NeurIPS 2024 Safe Linear Bandits over Unknown Polytopes COLT 2024 Safe online convex optimization with multi-point feedback L4DC 2024 Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024 Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation ICLR 2024 Scale-free Adversarial Reinforcement Learning COLT 2024