Posts
All the articles I've posted.
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Do Verifier Errors Grow Superlinearly with Horizon? A Six-Stage Experiment
Updated: · 17 min readA preregistered 224-artifact study confirms a 66% hybrid-verifier improvement, does not support the universal superlinear headline, and finds that task structure can reverse the apparent horizon effect.
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From Tool Calls to Policy Updates: A Reproducible Agent RL Stack
· 45 min readA reproducible blueprint for Agent RL: environment snapshots, verifier contracts, credit assignment, three-policy semantics, asynchronous generation and training, partial rollouts, and runnable smoke tests.
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A Repair Can Save a Trajectory Without Teaching the Agent
· 18 min readAn eight-seed counterfactual-replay experiment found that high-value one-action repairs reliably rescue failed agent trajectories—but a repair-value-dominant SFT selector did not beat simpler rules and recovered only 25% of matched-RL improvement.
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Beyond 49 ms: Where VM Resume Latency Actually Goes in Agentic RL
· 21 min readA measurement-first look at fast sandbox resume, speculative tool execution, and action-observation co-speculation—and why time-to-useful-work matters more than boot time.
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Reproducing CompactRL: What Worked, What Failed, and Why We Did Not Scale
Updated: · 16 min readAn auditable CompactRL reproduction spanning the public algorithm, a 96-step long-horizon simulation, integration with slime, real Qwen actor-critic training, value-function fixes, 17 experimental phases, and the evidence that stopped us from scaling.
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From Long CoT to Agent Swarms: The Documented Evolution of Kimi's Reinforcement Learning
· 15 min readA source-grounded history of Kimi's reinforcement-learning stack, from Kimi k1.5's long-context outcome RL and partial rollouts to K2's general RL and K2.5's multimodal GRMs and Parallel-Agent RL.