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π Main Results β’ β¨ Getting Started π» Acknowledgement β’ π¨ Contact β’ π TODO β’ π Citation --> SimpleVLA-RL is an efficient RL framework for VLA that improves long-horizon planning under data scarcity. It leverages reinforcement learning that can substantially outperforms SFT in simulation andβ¦
The main features of prime-rl/simplevla-rl are: Robotics Tasks.
Open-source alternatives to prime-rl/simplevla-rl include: aiming-lab/grape β This repository provides the official PyTorch implementation of the following paper: 3 University of Chicago. ariostgx/ript-vla β Interactive Post-Training for Vision-Language-Action Models Official implementation of RIPT-VLA. Parts of the repo areβ¦ cccedric/conrft β We provide examples to fine-tune Octo, on the top of HIL-SERL that provides the base environment to perform roboticβ¦ cost-97/reinbot β This repo contains code for the paper:. gen-robot/rl4vla β This repository contains the code for the paper What Can RL Bring to VLA Generalization? An Empirical Study. Theβ¦ guanxinglu/vlarl β π― General Manipulation: Improving OpenVLA-7B with outcome-based multi-task reinforcement learing.
This repository provides the official PyTorch implementation of the following paper: 3 University of Chicago
Interactive Post-Training for Vision-Language-Action Models Official implementation of RIPT-VLA. Parts of the repo are built on a fork of QueST.
We provide examples to fine-tune Octo, on the top of HIL-SERL that provides the base environment to perform robotic manipulation tasks with human interventions. The following sections describe how to use our code.
