Deep RL

CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract) AAAI 2026 Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards ACL 2026 CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space AAAI 2026 Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment EACL 2026 Constraint-Aware Reinforcement Learning via Adaptive Action Scaling L4DC 2026 Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions AAAI 2026 Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy AAAI 2026 CRAF: A Clinical Reasoning-Adaptive Framework via Reinforcement Learning for Similar Case Retrieval AAAI 2026 Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation CVPR 2026 D²PPO: Diffusion Policy Policy Optimization with Dispersive Loss AAAI 2026 Deep Q-Learning on Hölder Spaces COLT 2026 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 Detect Anything via Next Point Prediction CVPR 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 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 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 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