policy generalization

Video2Robo: 3DGS-based Synthetic Data from One Video Enables Scalable Robot Learning CVPR 2026 CoA-VLA: Improving Vision-Language-Action Models via Visual-Text Chain-of-Affordance ICCV 2025 Data Scaling Laws in Imitation Learning for Robotic Manipulation ICLR 2025 GENMANIP: LLM-driven Simulation for Generalizable Instruction-Following Manipulation CVPR 2025 RoboGround: Robotic Manipulation with Grounded Vision-Language Priors CVPR 2025 Effect-Invariant Mechanisms for Policy Generalization JMLR 2024 Is Value Learning Really the Main Bottleneck in Offline RL? NeurIPS 2024 Learning World Models for Unconstrained Goal Navigation NeurIPS 2024 Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts ICLR 2024 Opponent Modeling based on Subgoal Inference NeurIPS 2024 Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation ICML 2024 Unveiling Options with Neural Network Decomposition ICLR 2024 Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning ICML 2023 Explore to Generalize in Zero-Shot RL NeurIPS 2023 GenAug: Retargeting behaviors to unseen situations via Generative Augmentation RSS 2023 Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities CoRL 2023 Large Decision Models IJCAI 2023 RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning ICLR 2023 Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets RSS 2022 Chain of Thought Imitation with Procedure Cloning NeurIPS 2022 EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning ICML 2022 Hypernetworks in Meta-Reinforcement Learning CoRL 2022 Prompting Decision Transformer for Few-Shot Policy Generalization ICML 2022 Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation ICML 2022 Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior CoRL 2022