Deep RL

Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA AAAI 2026 MetaTrader: Learning to Generalize RL Trading Policies Beyond Offline Data AAAI 2026 MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization ACL 2026 MonoVLM: Monocular 3D Visual Grounding with Vision Language Models CVPR 2026 MoRI: Learning Motivation-Grounded Reasoning for Scientific Ideation in Large Language Models ACL 2026 MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios AAAI 2026 MS-PPO: Mean Standard Deviation Proximal Policy Optimization for Reliable Parking Space Search in Structured Environments AAAI 2026 MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning CVPR 2026 Multi-Agent RL with Invisible Collaborators: Marginal Advantage Estimation for Indirect Cooperation UAI 2026 Multi-Stage Reinforcement Learning for Robust Charging of Quantum Batteries (Student Abstract) AAAI 2026 NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks ACL 2026 Neural Value Iteration UAI 2026 Neuro-Cognitive Reward Modeling for Human-Centered Autonomous Vehicle Control CVPR 2026 No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts WACV 2026 No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning ACL 2026 Object-Centric World Models for Causality-Aware Reinforcement Learning AAAI 2026 Obstruction Reasoning for Robotic Grasping CVPR 2026 OneFont: A Unified Agent for End-to-End Font Creation AAAI 2026 One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow AAAI 2026 On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning ACL 2026 On the Hidden Objective Biases of Group-based Reinforcement Learning ACL 2026 Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer CVPR 2026 OralGPT-Plus: Learning to Use Visual Tools via Reinforcement Learning for Panoramic X-ray Analysis CVPR 2026 Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy AAAI 2026 PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling CVPR 2026