trust region

Embedding Safety into RL: A New Take on Trust Region Methods ICML 2025 Feasibility-Driven Trust Region Bayesian Optimization AutoML 2025 Joker: Joint Optimization Framework for Lightweight Kernel Machines ICML 2025 Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization AAAI 2025 Trust-Region Twisted Policy Improvement ICML 2025 Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence ICML 2024 ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints ICML 2024 An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning AAAI 2024 BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024 Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NeurIPS 2024 Effective Federated Graph Matching ICML 2024 Inversion-based Latent Bayesian Optimization NeurIPS 2024 No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO NeurIPS 2024 Off-Agent Trust Region Policy Optimization IJCAI 2024 RoPINN: Region Optimized Physics-Informed Neural Networks NeurIPS 2024 Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation ICML 2024 TRAM: Bridging Trust Regions and Sharpness Aware Minimization ICLR 2024 Trust Regions for Explanations via Black-Box Probabilistic Certification ICML 2024 VISA: Variational Inference with Sequential Sample-Average Approximations NeurIPS 2024 Discovering Many Diverse Solutions with Bayesian Optimization AISTATS 2023 Order Matters: Agent-by-agent Policy Optimization ICLR 2023 Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints NeurIPS 2023 An Analytical Update Rule for General Policy Optimization ICML 2022 Constrained Variational Policy Optimization for Safe Reinforcement Learning ICML 2022 Learning to Constrain Policy Optimization with Virtual Trust Region NeurIPS 2022