Forget about credit assignment in long-horizon agentic post-training

A blog post argues that Evolution Strategies, which perturbs model weights and needs no per-token credit assignment, may beat policy-gradient methods like GRPO for fine-tuning LLMs on long-horizon agentic tasks.