WebEvaluation results show that QLFP improves the profit by as high as 50% over both Q-learning and Speedy Q-learning. The QLFP algorithm also improves both the reputation and profit by as high as two times over the scheme of … WebMar 9, 2024 · The speedy Q-learning algorithm makes use of the current and the previous Q-value estimates in the update equation. More recently, the zap Q-learning algorithm has been proposed in [ 8 ] that imitates the stochastic Newton-Raphson method and it is shown that zap Q-learning exhibits faster convergence to the optimal solution.

Dr Shalabh Bhatnagar arXiv:2110.15093v1 [cs.LG] 27 Oct 2024

WebWe introduce a new convergent variant of Q-learning, called speedy Q-learning (SQL), to address the problem of slow convergence in the standard form of the Q-learning algorithm. WebDec 21, 2024 · The Q-learning is the most commonly used RL algorithm, in which the Q-function that satisfies Bellman’s equation is defined as follows: Q\left ( {s_ {t} ,a_ {t} } \right) = E\left [ {R_ {t} + \gamma \mathop {\max }\limits_ { {a_ {t + 1} }} Q\left ( {s_ {t + 1} ,a_ {t + 1} } \right) s_ {t} ,a_ {t} } \right] (9) list the 2 types of water-soluble vitamins

Successive Over Relaxation Q-Learning DeepAI

WebJan 17, 2024 · Speedy Q-learning, a new variant of Q-learning algorithm, deals with this … WebQ-learning may suffer from slow rate of convergence, especially when the discount factor {\displaystyle \gamma } \gamma is close to one.[16] Speedy Q-learning, a new variant of Q-learning algorithm, deals with this problem and achieves a slightly better rate of convergence than model-based methods such as value iteration WebOct 1, 2024 · The online learning algorithm for MC-based TPMs is divided into two … impact of customer returns on a business