Reinforcement Learning

Spatial-Temporal Aware Visuomotor Diffusion Policy Learning ICCV 2025 Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation CVPR 2025 SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Models RSS 2025 Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL EMNLP 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 SPO: Self Preference Optimization with Self Regularization EMNLP 2025 SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin EMNLP 2025 SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning AAAI 2025 Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning CVPR 2025 Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation ICLR 2025 Stable Offline Value Function Learning with Bisimulation-based Representations ICML 2025 STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization ICML 2025 State Revisit and Re-explore: Bridging Sim-to-Real Gaps in Offline-and-Online Reinforcement Learning with An Imperfect Simulator IJCAI 2025 Statistical field theory for Markov decision processes under uncertainty JMLR 2025 Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs ICLR 2025 Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning ICML 2025 Steady-State Strategy Synthesis for Swarms of Autonomous Agents IJCAI 2025 Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning ICML 2025 STeCa: Step-level Trajectory Calibration for LLM Agent Learning ACL 2025 Steerable Scene Generation with Post Training and Inference-Time Search CoRL 2025 Steering LLM Reasoning Through Bias-Only Adaptation EMNLP 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