Concept智能体强化学习 / 面向智能体的强化学习
Agentic RL
面向AI智能体的新型强化学习范式，需要处理更长的决策链条、更稀疏的奖励信号以及更复杂的状态空间，是RLHF的演进方向
Timeline (last 90 days)
Oct 20
Agima's training is divided into two stages: the first stage uses supervised fine-tuning (SFT) to unify the policy and the world model into a single omni-model; the second stage uses agentic reinforcement learning (RL) to teach the model to reason over imagined futures and use them for planning.
Unverified50%
Sep 17
Xiaomi is live-streaming in real time an agentic reinforcement learning training process that will cost more than one million dollars.
Expired50%