visual reinforcement learning

PQDA:Policy-Aligned Q-Consistency Meets Decoupled Augmentation for Generalizable Visual RL AAAI 2026 SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning CVPR 2026 Semore: VLM-guided Enhanced Semantic Motion Representations for Visual Reinforcement Learning AAAI 2026 TSTM: Temporal Segmentation for Task-relevant Mask in Visual Reinforcement Learning Generalization CVPR 2026 Diffusion Guided Adaptive Augmentation for Generalization in Visual Reinforcement Learning ICCV 2025 Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning AAAI 2025 GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning ICCV 2025 Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning ICLR 2025 MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning ICML 2025 MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning WACV 2025 One Encoder to Rule them All: Representation Learning for Model-free Visual Reinforcement Learning using Fourier Neural Operators ICCV 2025 Self-Consistent Model-based Adaptation for Visual Reinforcement Learning IJCAI 2025 Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning ICML 2025 Visual Reinforcement Learning with Residual Action AAAI 2025 VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning CVPR 2025 When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning? AAAI 2025 A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations NeurIPS 2024 DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning CVPR 2024 DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization ICLR 2024 Focus On What Matters: Separated Models For Visual-Based RL Generalization NeurIPS 2024 Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning AAAI 2024 Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization NeurIPS 2024 How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective IJCAI 2024 Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning NeurIPS 2024 Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages ICLR 2024