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Reward Learning Rate: Difference between revisions
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(Created page with "'''The term "reward learning rate" is a cognitive change which has been seen to be augmented by use of psychedelics. Typically reward learning rate refers to a parameter used in reinforcement learning algorithms. Reinforcement learning is a machine learning paradigm where an agent learns how to interact with an environment to maximize a cumulative reward over time.''' In this context, the "''reward learning rate''" is a value that determines how quickly an agent upd...") |
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'''The term "reward learning rate" is a cognitive change which has been seen to be augmented by use of [[psychedelics]]. Typically reward learning rate refers to a parameter used in reinforcement learning algorithms. Reinforcement learning is a machine learning paradigm where an agent learns how to interact with an environment to maximize a cumulative reward over time.''' | '''The term "reward learning rate" is a cognitive change which has been seen to be augmented by use of [[psychedelics]]'''<ref>'''Effect of lysergic acid diethylamide (LSD) on reinforcement learning in humans.''' Psychological Medicine, 1-12. doi:10.1017/S0033291722002963, Kanen, J., Luo, Q., Rostami Kandroodi, M., Cardinal, R., Robbins, T., Nutt, D., . . . Den Ouden, H. (2022). Accessed on 24 August 2023 via <nowiki>https://www.cambridge.org/core/journals/psychological-medicine/article/effect-of-lysergic-acid-diethylamide-lsd-on-reinforcement-learning-in-humans/28E41FEE97D3A8614C77DC54DF501489</nowiki></ref>'''. Typically reward learning rate refers to a parameter used in reinforcement learning algorithms. Reinforcement learning is a machine learning paradigm where an agent learns how to interact with an environment to maximize a cumulative reward over time.''' | ||
In this context, the "''reward learning rate''" is a value that determines how quickly an agent updates its knowledge or policy based on the rewards it receives from the environment. It's a crucial parameter because it influences how fast the agent adapts its behavior in response to the feedback it gets from its actions. | In this context, the "''reward learning rate''" is a value that determines how quickly an agent updates its knowledge or policy based on the rewards it receives from the environment. It's a crucial parameter because it influences how fast the agent adapts its behavior in response to the feedback it gets from its actions. | ||
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In summary, the reward learning rate is a parameter that influences how quickly an agent adjusts its behavior based on the rewards it receives. It's a critical factor in balancing the trade-off between quickly adapting to new information and maintaining stability in the learning process. The optimal value for this parameter often depends on the specific problem being solved and may require experimentation to find the right balance. | In summary, the reward learning rate is a parameter that influences how quickly an agent adjusts its behavior based on the rewards it receives. It's a critical factor in balancing the trade-off between quickly adapting to new information and maintaining stability in the learning process. The optimal value for this parameter often depends on the specific problem being solved and may require experimentation to find the right balance. | ||
'''References''' | |||