diffusion policies
Policies derived from diffusion processes that help in decision-making under uncertainty. These methods involve gradually updating policy distributions in response to observations and actions, often leading to more stable learning over time.
- A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search
- Conditioning Matters: Training Diffusion Policies is Faster Than You Think
- DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
- Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy
- HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning
- Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
- PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning
- SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound
- Uncertainty-aware Preference Alignment for Diffusion Policies