model-based:知己知彼,百战百胜 Model-free:两耳不闻窗外事,一心只读圣贤书 总结 RL的形式化 首先我们定义强化学习中的马尔可夫决策过程MDP,用四元组表示: 对于上面,我们先理解T,其表达了环境的不确定性,即在当前状态s下,我们执行一个动作a,其下一个状态s'是什么有很多种可能。这有点不符合我们的直觉,例如和我...
model-free在其中就是下图的 direct RL,因此 model-free 就是value/policy->acting->experience->direct RL->value/policy 的过程。 Model-free RL方法一般分成3类: Value-Based Method (Q-Learning,DQN等)。 Policy-Based Method (Policy Gradient)。 Policy and Value Based Method(Actor Critic,如典型的DDPG)...
最里面就是对dynamics和梯度，因为St+1取决于St和at，所以有俩项相加。就是链式法则。
判断model-based和model-free最基本的原则是:有没有可依据的model,也就是经过policy得到action之前,它是否能对下一步的状态和回报做出预测,如果可以,那么就是model-based方法,如果不能,即为model-free方法。 或者: Model-free 以及Model-based 的最大区别是:是否有对环境建模。 Model-free 的算法不会对环境进行建...
Model-free: 不需要知道状态之间的转移概率（transition probability）Model-based: 需要知道状态之间的转移...
文章要点:这篇文章提出了temporal difference models(TDMs)算法,把goal-conditioned value functions和dynamics model联系起来,建立了model-free和model-based RL的关系,结合了各自的优点,既利用dynamics里丰富的信息,也超过了直接model based RL的效果。 具体的,一个model based RL的问题可以看求动作序列,同时满足状态转...
- offline rl No Behaviour policy 利用离线数据(例如随机行为产生的数据)训练策略,与监督学习类似 # model based vs model free 就是否对环境建模来区分 https://ai.stackexchange.com/questions/4456/whats-the-difference-between-model-free-and-model-based-reinforcement-learning 0 comments on commit 3b5f81e...
model based RLmodel free RLModel-Free Reinforcement Learning has achieved meaningful results in stable environments but, to this day, it remains problematic in regime changing environmentBenhamou, EricSaltiel, DavidTabachnik, SergeWong, Sui Kai
Model-based RL uses this information, by training a predictive model, but often does not achieve the same asymptotic performance as model-free RL due to model bias. We introduce temporal difference models (TDMs), a family of goal-conditioned value functions that can be trained with model-free...
MFHChehade / RL-vs-MPC-for-Battery-Management Star 2 Code Issues Pull requests We compare model-free and model-based methods in the context of battery control. reinforcement-learning neural-networks model-based-control model-predictive-control battery-management-system long-short-term-memory ...