Transition Based Discount Factor for Model Free Algorithms in Reinforcement Learning

Transition Based Discount Factor for Model Free Algorithms in Reinforcement Learning

Reinforcement Learning (RL) enables an agent to learn control policies for achieving its long-term goals. One key parameter of RL algorithms is a discount factor that scales down future cost in the state’s current value estimate. This study introduces and analyses a transition-based discount factor...

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Bibliographic Details
Main Authors: Abhinav Sharma, Ruchir Gupta, K. Lakshmanan, Atul Gupta
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Symmetry
Subjects:
model free algorithms
Q-learning
reinforcement learning
SARSA
transition dependent discount factor
Online Access:https://www.mdpi.com/2073-8994/13/7/1197

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https://www.mdpi.com/2073-8994/13/7/1197

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