Data-efficient pipeline for offline reinforcement learning with limited data
Offline reinforcement learning (RL) can be used to improve future performance by
leveraging historical data. There exist many different algorithms for offline RL, and it is well …
leveraging historical data. There exist many different algorithms for offline RL, and it is well …
[PDF][PDF] A Study on Designing a Deep Reinforcement Learning Library towards Practical Applications
T Seno - 2023 - koara.lib.keio.ac.jp
Deep reinforcement learning (RL) has shown significant advancements in various domains.
Building a reusable library is essential to accelerate the research and development process …
Building a reusable library is essential to accelerate the research and development process …