Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework

@article{Nguyen2020ReviewAA,
  title={Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework},
  author={Ngoc Duy Nguyen and Thanh Huyen Thi Nguyen and Hai Nguyen and Saeid Nahavandi},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.11883}
}
  • Ngoc Duy Nguyen, Thanh Huyen Thi Nguyen, +1 author Saeid Nahavandi
  • Published in ArXiv 2020
  • Mathematics, Computer Science
  • Reinforcement learning (RL) has emerged as a standard approach for building an intelligent system, which involves multiple self-operated agents to collectively accomplish a designated task. More importantly, there has been a great attention to RL since the introduction of deep learning that essentially makes RL feasible to operate in high-dimensional environments. However, current research interests are diverted into different directions, such as multi-agent and multi-objective learning, and… CONTINUE READING

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