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…
Multi-Reward Reinforcement Learning for LLM Agents: Comparing PPO, GRPO, DAPO, and GDPO
New empirical follow-up: Part 2 compares seven trainer configurations on Qwen3-14B and our DEX gym , with no-think and thinking holdouts, interactiv…
RL 3: Bellman Equations and Markov Decision Processes (1950s–1960s)
Where we left off Two quick reminders. Thorndike (1898) watched cats escape a puzzle box and gave us the Law of Effect : do something, get a good re…