If you are curios, like me, how the actual reinforcement learning happens. It uses verl [1] underneath.
The paper "HybridFlow: A Flexible and Efficient RLHF Framework" [2] explains it really well.
Some of the comments so far seem to be misunderstanding this submission. As I understand it:
1. Custom scaffolding (system prompt and tools) using Qwen3-32B achieved 13.75% on Terminal-Bench. No training was involved.
2. The author has built an RL system, but it has not been used for anything due to cost limitations.
So there's actually no result related to training here. It well known that the scaffolding used can have a large impact on benchmark outcomes (the Terminal bench leaderboard also demonstrates this [1]).
Great work! There should be a way for entities to crowdfund model training. Can a model like this be partially evaluated during training time and save through early stopping?
What are the best papers/resources on sota long-horizon RL?
Exactly my first thought when I realised the cost!
Currently LoRA is not supported by rLLM (The team told me they aim to support in next release), but it is certainly possible to port to verl directly or another RL framework for sure. I just did not have the time to port again (already done 2x as other RL frameworks had issues)
[1] https://github.com/volcengine/verl
[2] https://arxiv.org/abs/2409.19256v2
1. Custom scaffolding (system prompt and tools) using Qwen3-32B achieved 13.75% on Terminal-Bench. No training was involved.
2. The author has built an RL system, but it has not been used for anything due to cost limitations.
So there's actually no result related to training here. It well known that the scaffolding used can have a large impact on benchmark outcomes (the Terminal bench leaderboard also demonstrates this [1]).
[1] https://www.tbench.ai/leaderboard
1. Tooling for training a terminal agent.
2. An agent that was _not_ trained with this tooling but prompt engineered. I could not find the author's discussion on this point.
What are the best papers/resources on sota long-horizon RL?
Thanks.