Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning

Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning

In recent years, reinforcement learning (RL) has received a lot of attention because we can automatically learn optimal behavioral policies. However, since RL acquires the policy by repeatedly interacting with the environment, it is difficult to learn about realistic tasks. In recent years, there ha...

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Bibliographic Details
Main Authors: Shunya Kidera, Kosuke Shintani, Toi Tsuneda, Satoshi Yamane
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Reinforcement learning
offline reinforcement learning
generative adversarial networks
discriminator
robot control
Online Access:https://ieeexplore.ieee.org/document/10418100/

Internet

https://ieeexplore.ieee.org/document/10418100/

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