Policy Learning

Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues AAAI 2025 SkillMimic: Learning Basketball Interaction Skills from Demonstrations CVPR 2025 Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation CVPR 2025 Speeding up Policy Simulation in Supply Chain RL ICML 2025 SPoRt - Safe Policy Ratio: Certified Training and Deployment of Task Policies in Model-Free RL IJCAI 2025 SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin EMNLP 2025 Statistical field theory for Markov decision processes under uncertainty JMLR 2025 Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning ICML 2025 STeCa: Step-level Trajectory Calibration for LLM Agent Learning ACL 2025 Steering Your Diffusion Policy with Latent Space Reinforcement Learning CoRL 2025 StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization EMNLP 2025 Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence ICML 2025 STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving ICML 2025 Strategic Planning: A Top-Down Approach to Option Generation ICML 2025 Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories CoRL 2025 Subgoal-Guided Policy Heuristic Search with Learned Subgoals ICML 2025 Symbiotic Local Search for Small Decision Tree Policies in MDPs UAI 2025 T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling ICML 2025 Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner ICML 2025 Teaching Language Models to Critique via Reinforcement Learning ICML 2025 TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization ICML 2025 The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks ICML 2025 The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes ICML 2025 The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise JMLR 2025 Theoretical guarantees on the best-of-n alignment policy ICML 2025