Policy Learning

Ergodic Generative Flows ICML 2025 EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control ICML 2025 Explicit Preference Optimization: No Need for an Implicit Reward Model ICML 2025 Extreme Value Policy Optimization for Safe Reinforcement Learning ICML 2025 Falcon: Fast Visuomotor Policies via Partial Denoising ICML 2025 Fast Convergence of Softmax Policy Mirror Ascent AISTATS 2025 Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies ICLR 2025 Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games ICML 2025 FLARE: Robot Learning with Implicit World Modeling CoRL 2025 Formally Verified Approximate Policy Iteration AAAI 2025 Forward KL Regularized Preference Optimization for Aligning Diffusion Policies AAAI 2025 Free Process Rewards without Process Labels ICML 2025 Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition ICLR 2025 Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging CVPR 2025 Generalized Behavior Learning from Diverse Demonstrations ICLR 2025 Geometric Red-Teaming for Robotic Manipulation CoRL 2025 Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems ICML 2025 GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks CVPR 2025 Global Convergence of Policy Gradient in Average Reward MDPs ICLR 2025 Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models ACL 2025 GRAT: Guiding Retrieval-Augmented Reasoning through Process Rewards Tree Search ACL 2025 Group-Aware Reinforcement Learning for Output Diversity in Large Language Models EMNLP 2025 Hierarchical Equivariant Policy via Frame Transfer ICML 2025 Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals ICML 2025 Horizon Generalization in Reinforcement Learning ICLR 2025