Bias in Natural Actor-Critic Algorithms E[ t=0 γ t rt |s0 =s, θ]. Similarly, the state-action value ∞ function is Qθ (s, a) = E[ t=0 γ t rt |s0 =s, a0 =a, θ]. The discounted state distribution, dθ , gives the probability of each state when using policy ...
一般来说，critic会用temporal difference learning来更新参数gt=(r(s,a)+γV(s′)−V(s))∇ω...
Simultaneously, in order to improve the sampling efficiency of the algorithm, we propose an improved prioritized experience replay mechanism by modifying the priority definition instead of the original random sampling. Experiments show that, compared with two state-of-the-art algorithms, our algorithm ...
(2014). Bias in Natural Actor-Critic Algorithms. ICML. Lillicrap, T., Hunt, J., Pritzel, A., Heess, N., Erez, T., Tassa, Y., Silver, D., & Wierstra, D. (2016). Continuous control with deep reinforcement learning. CoRR, abs/1509.02971. Haarnoja, T., Tang, H., Abbeel, P....
首先我想先谈一下我质疑楼上观点的原因，ppt里not unbiased后面其实有一个括号（if the critic is not...
如何计算三个算法的bias和variance 用定义求即可。不过一般情况下，是无法直接求解的，只能根据问题的性质...