REIN-2: Giving birth to prepared reinforcement learning agents using reinforcement learning agents-Reference-Cited by-同舟云学术

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REIN-2: Giving birth to prepared reinforcement learning agents using reinforcement learning agents

Published:2022-08 Issue: Volume:497 Page:86-93
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Lazaridis Aristotelis,Vlahavas Ioannis

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference29 articles.

1. Deep reinforcement learning: A state-of-the-art walkthrough;Lazaridis;Journal of Artificial Intelligence Research,2020

2. Pilco: A model-based and data-efficient approach to policy search;Deisenroth,2011

3. Reinforcement learning: An introduction;Sutton,2018

4. To recognize shapes, first learn to generate images;Hinton;Progress in Brain Research,2007

5. Weighted importance sampling for off-policy learning with linear function approximation;Mahmood;Advances in Neural Information Processing Systems,2014

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Multi-Model Fusion Learning for Sparse-Reward Reinforcement Learning;2024

2. GENEREIT: generating multi-talented reinforcement learning agents;International Journal of Information Technology;2023-01-09

3. MAS4Games: A Reinforced Learning-Based Multi-agent System to Improve Player Retention in Virtual Reality Video Games;Communications in Computer and Information Science;2023

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