HPT-Base Open-Source Transformer Model - A Practical Choice to Support Strategy Learning and Extend Behavior Research

Hpt Base

Developed by liruiw

HPT is a transformer model that aligns different entities into a shared latent space, focusing on the study of expansion behaviors in policy learning.

Multimodal Alignment

Transformers

#Multimodal Alignment #Policy Learning Expansion #Shared Latent Space

Downloads 70

Release Time : 4/11/2024

Model Overview

The Heterogeneous Pretrained Transformer (HPT) investigates expansion behaviors in policy learning by aligning different entities into a shared latent space. It can place an expandable transformer within the policy without requiring training from scratch.

Model Features

Heterogeneous Entity Alignment

Capable of aligning different entities into a shared latent space

Policy Learning Expansion

Investigates expansion behaviors in policy learning without training from scratch

Expandable Transformer

Places an expandable transformer within the policy to enhance model flexibility

Model Capabilities

Heterogeneous entity alignment

Policy learning expansion

Robot control policy optimization

Use Cases

Robotics

Robot Policy Learning

Used for learning and optimizing robot control policies

Achieves policy expansion without training from scratch

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Hpt Base

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