Reinforcement Learning

Deep Reinforcement Learning for Scalable Offline Three-Dimensional Packing AAAI 2026 Dejavu: Towards Experience Feedback Learning for Embodied Intelligence CVPR 2026 Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints ACL 2026 DemoFunGrasp: Universal Dexterous Functional Grasping via Demonstration-Editing Reinforcement Learning CVPR 2026 Designing Incentives for Networked Multi-agent Systems AAAI 2026 Detect Anything via Next Point Prediction CVPR 2026 Dexterous Manipulation Transfer via Progressive Kinematic-Dynamic Alignment AAAI 2026 DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors AAAI 2026 DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients AAAI 2026 Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis AAAI 2026 DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning AAAI 2026 Disentangling to Re-couple: Resolving the Similarity-Controllability Paradox in Subject-Driven Text-to-Image Generation CVPR 2026 Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026 Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning AAAI 2026 DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search ACL 2026 DreamSAC: Learning Hamiltonian World Models via Symmetry Exploration CVPR 2026 DRL-ORA: Distributional Reinforcement Learning with Online Epistemic Risk Adaptation UAI 2026 DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift AAAI 2026 Dr. Seg: Revisiting GRPO Training for Visual Large Language Models through Perception-Oriented Design CVPR 2026 DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning AAAI 2026 d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models ACL 2026 Dual-Agent Reinforcement Learning for Adaptive and Cost-Aware Visual-Inertial Odometry CVPR 2026 Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks AAAI 2026 DynaRL: Flexible and Dynamic Scheduling of Large-Scale Reinforcement Learning Training OSDI 2026 DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning L4DC 2026