Model Releases
Really interesting paper. I recommend it to anyone interested in training agents using existing harnesses. (bookmark it) ClawGym II runs RL …
Really interesting paper. I recommend it to anyone interested in training agents using existing harnesses. (bookmark it) ClawGym II runs RL through OpenClaw and Claude Code as opaque boxes. A serving
Really interesting paper. I recommend it to anyone interested in training agents using existing harnesses. (bookmark it) ClawGym II runs RL through OpenClaw and Claude Code as opaque boxes. A serving proxy sits at the model boundary and captures every call the harness makes, then those calls get organized into prefix trees so PPO and GRPO can optimize over the recovered multi-turn structure. Qwen3-30A3B gains 9.98 points of Pass@1 through OpenClaw and 14.81 through Claude Code, stable across 200 to 400 optimization steps. Mix-harness training pushes further. One model gets optimized jointly by heterogeneous harnesses, which points at policies that generalize across execution systems instead of overfitting to a single one. Paper: https://arxiv.org/abs/2608.16798 Track more trending AI papers in our academy: https://academy.dair.ai/
Related
- New research with Microsoft's and colleagues on training agents inside the harnesses they actually run in. (bookmark it) Why it matters: Age…
- Dive into Claude Code and how it compares with OpenClaw. https://arxiv.org/abs/2604.14228
- Great paper on self-improving agent harnesses. (bookmark it) If you maintain a production agent harness, finding every file behind one behav…
- Routing for long-horizon coding agents is a big deal. @notdiamond_ai just announced a model router that works natively with Claude Code. Thi…
Source: DAIR.AI (X) | 2026-08-18