Repository
Open source
RLinf
Reinforcement-learning infrastructure for embodied models and robotic policies.
Robot learning frameworks
Software / Research
rlinf actprobe · BigBen111
RLinf ActProbe adds probe-based early termination to embodied-policy reinforcement learning.
Overview
RLinf ActProbe adds probe-based early termination to embodied-policy reinforcement learning.
Publisher summary: “ActProbe RL fine-tuning: probe-based early-termination for embodied PPO (LIBERO + GR00T), built on RLinf.”
Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
Project information
- Maintainer
- BigBen111
- Primary language
- Python
- Repository code license
- Apache-2.0
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2026-06-09
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- ActProbe — RL fine-tuning: probe-based early-termination for embodied PPO (LIBERO + GR00T)
- Dependencies
- Running
- Config knobs
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actprobe · air-embodied-brain
ActProbe provides probes and benchmarks for early failure detection in generative robot policies.
Policy evaluation