Multi-Reward RL, Part 2: Benchmarking GRPO, DAPO, and CISPO on Unseen Tasks
Follow-up: Part 3 scales the CISPO + REPO-R recipe to Qwen3.8-27B and 600 steps , with a one-change-per-run holdout ladder and an advantage-floor fa…
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The Verifier Design Playbook: How to Build RLVR Gyms That Models Can't Game
In traditional machine learning, your loss function is a clean mathematical equation: mean squared error, cross-entropy, or cosine distance. The mat…
Building and Testing Robot Policies with MuJoCo
Building and Testing Robot Policies with MuJoCo MuJoCo (Multi-Joint dynamics with Contact) is a fast, accurate physics engine that has become a stan…