policy
MDP-DRLF-Multimodal-Diffusion-Policy-with-Reinforcement-Fine-tuning
cxcAxxy · PyTorch
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Overview
Name
MDP-DRLF-Multimodal-Diffusion-Policy-with-Reinforcement-Fine-tuning
Author
cxcAxxy
Framework
PyTorch
License
MIT
Skill type
manipulation
Evidence level
untested
Task description
This project develops a unified framework for complex robotic manipulation by integrating multimodal perception with diffusion-based policy learning. Using RGB-D, point clouds, and tactile inputs, it models high-dimensional actions and leverages reinforcement learning for robust and generalizable pe
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
0+20 mentioned but not in catalog yetNo robots list MDP-DRLF-Multimodal-Diffusion-Policy-with-Reinforcement-Fine-tuning as compatible yet. Know of one? Flag it above.
Compatible environments
0No environments list MDP-DRLF-Multimodal-Diffusion-Policy-with-Reinforcement-Fine-tuning yet.
Datasets that reference this policy
0No datasets reference MDP-DRLF-Multimodal-Diffusion-Policy-with-Reinforcement-Fine-tuning yet.