Are there any white papers addressing how to use quantum reinforced a.i. feedback agents?
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There are several white papers addressing the use of quantum reinforcement learning agents for feedback. One paper discusses the implementation of a latency-optimized deep neural network on a field-programmable gate array (FPGA) to train a deep reinforcement learning agent for real-time feedback control of quantum devices . Another paper explores the use of quantum recurrent neural networks (QRNN) to build quantum reinforcement learning (QRL) agents, specifically using quantum long short-term memory (QLSTM) as the core of the agent . Additionally, a paper demonstrates how reinforcement learning from human feedback (RLHF) can be used to improve agent behavior in complex, embodied domains without programmatic reward functions . Finally, a paper presents an experiment where the learning of an agent is boosted by utilizing a quantum communication channel with the environment, showing the potential for quantum advantage in reinforcement learning .
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| Papers (5) | Insight |
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| The provided paper demonstrates a RL experiment where the learning of an agent is boosted by utilizing a quantum communication channel with the environment. It also shows that combining quantum and classical communication enables the evaluation and control of the learning process. However, the paper does not specifically address how to use quantum reinforced AI feedback agents. | |
10 Citations | The provided paper does not address the use of quantum reinforced AI feedback agents. The paper focuses on using reinforcement learning from human feedback to improve multimodal interactive agents. |
| The provided paper discusses the development of quantum machine learning (QML) and quantum reinforcement learning (QRL) agents using quantum recurrent neural networks (QRNN). It does not specifically mention white papers addressing the use of quantum reinforced AI feedback agents. | |
29 Oct 2022 | The provided paper discusses the implementation of a deep reinforcement learning agent for real-time feedback control of a quantum system. It does not specifically address the use of quantum reinforced AI feedback agents in other white papers. |
| The provided paper discusses the implementation of a deep reinforcement learning agent for real-time feedback control of a quantum system. It does not specifically address the use of quantum reinforced AI feedback agents in other white papers. |
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