Bilinear Flow Policy: Distributional Extrapolation for Goal-Conditioned Visuomotor Imitation
cs.RO
Submitted: 2026-10-05
Updated: 2026-10-07
Project page: https://bilinearflow.netlify.app
Sources
- ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching
- Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning
- Bilinear value networks
- Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning
- Flow Matching Guide and Code
- R3M: A Universal Visual Representation for Robot Manipulation
- Learning to Extrapolate: A Transductive Approach
- Difference-Aware Retrieval Policies for Imitation Learning
- Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
- Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals
- DINOv3
- Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping
- Beyond Binary Success: Sample-Efficient and Statistically Rigorous Robot Policy Comparison
- Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations
- Equivariant Diffusion Policy
- PoCo: Policy Composition from and for Heterogeneous Robot Learning
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
- Learning Generalizable Manipulation Policies with Object-Centric 3D Representations
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