domain randomization

OMPO: A Unified Framework for RL under Policy and Dynamics Shifts ICML 2024 Online Control with Adversarial Disturbance for Continuous-time Linear Systems NeurIPS 2024 Rapid Motor Adaptation for Robotic Manipulator Arms CVPR 2024 Reward-Free Curricula for Training Robust World Models ICLR 2024 RoboCasa: Large-Scale Simulation of Household Tasks for Generalist Robots RSS 2024 Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning CoRL 2023 Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer CVPR 2023 Phone2Proc: Bringing Robust Robots Into Our Chaotic World CVPR 2023 Reinforcement Learning Enables Real-Time Planning and Control of Agile Maneuvers for Soft Robot Arms CoRL 2023 Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization ICML 2023 Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence CVPR 2023 Texture Learning Domain Randomization for Domain Generalized Segmentation ICCV 2023 Learning Representations that Enable Generalization in Assistive Tasks CoRL 2022 RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation ICLR 2022 Understanding Domain Randomization for Sim-to-real Transfer ICLR 2022 What Matters for Meta-Learning Vision Regression Tasks? CVPR 2022 Aligning an optical interferometer with beam divergence control and continuous action space CoRL 2021 Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning CVPR 2021 Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation CoRL 2021 Environment Generation for Zero-Shot Compositional Reinforcement Learning NeurIPS 2021 FSDR: Frequency Space Domain Randomization for Domain Generalization CVPR 2021 Monotonic Robust Policy Optimization with Model Discrepancy ICML 2021 Neural Posterior Domain Randomization CoRL 2021 Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation ACML 2021 Self-Supervised Policy Adaptation during Deployment ICLR 2021