kl regularization

A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models AAAI 2026 Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning ICML 2025 Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective ICML 2025 GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment ICLR 2025 Logarithmic Regret for Online KL-Regularized Reinforcement Learning ICML 2025 RL, but don’t do anything I wouldn’t do UAI 2025 Communication-Efficient Federated Group Distributionally Robust Optimization NeurIPS 2024 Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning ACL 2024 Demonstration-Regularized RL ICLR 2024 Iterative Regularized Policy Optimization with Imperfect Demonstrations ICML 2024 SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization CVPR 2023 Modeling Strong and Human-Like Gameplay with KL-Regularized Search ICML 2022 ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion AAAI 2021 Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning ACML 2021 Hierarchically Decoupled Imitation For Morphological Transfer ICML 2020 Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning NeurIPS 2020 Information asymmetry in KL-regularized RL ICLR 2019 From PAC-Bayes Bounds to KL Regularization NeurIPS 2009 Differentiable Sparse Coding NeurIPS 2008