pac bound

Cost-Aware Near-Optimal Policy Learning AAAI 2025 Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NeurIPS 2024 Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds ICLR 2024 Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning NeurIPS 2024 Concentration analysis of multivariate elliptic diffusions JMLR 2023 Measure the Predictive Heterogeneity ICLR 2023 The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning NeurIPS 2023 Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model ALT 2021 Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation NeurIPS 2021 Sequential Transfer in Reinforcement Learning with a Generative Model ICML 2020 Batch Policy Learning under Constraints ICML 2019 Policy Certificates: Towards Accountable Reinforcement Learning ICML 2019 Sample Efficient Policy Search for Optimal Stopping Domains IJCAI 2017 Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014 Sample Complexity of Composite Likelihood AISTATS 2012 Speedy Q-Learning NeurIPS 2011