A controversial but widely-used form of autism treatment, Parsons believed ABA could be an ideal solution, and at first she ...

Learn how “trash talk,” Family Feud, smartphones, and personalizing a driver defendant promote fleet safety and protect ...

In addition, the hybrid learning strategies integrating supervised and reinforcement learning techniques have not been explored. Therefore, this study tried to fill a research gap. Moreover, this ...

Reinforcement learning (RL) is a paradigm for learning sequential decision making tasks. However, typically the user must hand-tune exploration parameters for each different domain and/or algorithm ...

To address this challenge, this study proposes lightweight optimization strategies for decision-making models from the aspects of parameter size, training memory usage, and inference speed.

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Through RL (reinforcement learning, or reward-driven optimization), o1 learns to hone its chain of thought and refine the strategies it uses — ultimately learning to recognize and correct its ...

Get Instant Summarized Text (Gist) The study identifies a link between dopamine neurotransmission and autism symptoms using a mouse model with elevated eIF4E protein levels. It reveals that ...

"Agents" originated in reinforcement learning, where they learn by interacting with an environment and receiving a reward signal. However, LLM-based agents today do not learn online (i.e. continuously ...