Reward model的训练 Reward model的功能是对(prompt, answer)进行打分。 pairwise pairwise相比于pointwise的差异: pairwise是通常用于学习同一个group内两个样本的相对排序(即偏序关系),比如搜索场景同一次搜…
(2) using a 175B RM and value function greatly increase the computerequirementsof PPO. (3) In preliminary experiments, we found that 6B RMs were stable across a wide range of learning rates, and led to equally strong PPO models. 3、初始化权重方式 The final reward model was initialized fro...
其一是自然语言分类远比生成容易，就算reward model和instruct GPT使用了近似的架构。也许可以类比P和NP这...
而是优化正例和负例之间的差别。这使得当前的 reward model 没有做到预期的效果，还有优化的空间。（这...
同时,Value Function 是基于某一个特定的 Policy,不同的 policy 下同一 state 的 value 并不相同。 4.3 Model Model 是 agent 对 environment 的一个建模,它体现了个体是如何思考环境运行机制的,agent 希望 model 能模拟 environment 与 agent 的交互机制。
classValueModel(parl.Model): def__init__(self, obs_dim, act_dim): super(ValueModel,self).__init__ hid1_size = obs_dim *10 hid3_size =5 hid2_size = int(np.sqrt(hid1_size * hid3_size)) self.lr =1e-2/ np.sqrt(hid2_size) ...
A distributional code for value in dopamine-based reinforcement learning Analyses of single-cell recordings from mouse ventral tegmental area are consistent with a model of reinforcement learning in which the brain represents possible future rewards not as a single mean of stochastic outcomes, as in ...
Feature request The new models from OpenAssistant are type of gpt_neox_reward_model, the latest version of transformers lib not supporting them. OpenAssistant/oasst-rm-2.1-pythia-1.4b-epoch-2.5 OpenAssistant/oasst-rm-2-pythia-6.9b-epoch-...
A model explaining behavioral “impulsivity” and “self-control” is proposed on the basis of the theory of reinforcement learning. The discount coefficient γ, which in this theory accounts for the subjective reduction in the value of a delayed reinforcement, is iden...
(λ)-learning algorithm can converge faster and gain higher value of the CPS index than the Q(λ)-learning algorithm which is based on a discounted reward model.In addition,the improved controller based on the novel R(λ)-learning algorithm holds the advantage of learning on-line in the ...