「reinforcement」の検索結果
11 件Speculative decoding accelerates rollout generation, which dominates the cost of reinforcement learning (RL) p
Visual generation is evolving from generative models used through a single invocation into agentic control pro
Most end-to-end autonomous-driving systems learn by imitating human driving logs, leaving their learned behavi
Despite the remarkable prowess of Vision-Language Models (VLMs) in general multimodal tasks, they remain funda
Large language models (LLMs) are increasingly used to edit existing code, but correctness alone is not enough:
Benchmarks for the side effects an agent causes on the way to a goal already exist, but HarvestBench is the fi
Reinforcement Learning from Verifiable Rewards works well when a task has a programmatic checker, but most lon
Personalized assistants should not only comply with user requests but also assess whether those requests are a
Group relative policy optimization for reinforcement learning with verifiable rewards (RLVR) typically uses a
Reinforcement learning with verifiable rewards (RLVR) substantially improves single-sample accuracy (pass@1) b
On-policy distillation trains a language model on its own generations while a teacher scores them token by tok