Reinforcement learning frames trading as a sequential decision-making problem, where an agent observes market conditions, ...
A study from University of Pennsylvania’s Wharton School and the Hong Kong University of Science and Technology found that when placed in simulated markets, AI trading bots did not compete with one ...
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New look at dopamine signaling suggests neuroscientists' model of reinforcement learning may need to be revised
Dopamine is a powerful signal in the brain, influencing our moods, motivations, movements, and more. The neurotransmitter is crucial for reward-based learning, a function that may be disrupted in a ...
The intersection of artificial intelligence and crypto trading has created a powerful new tool in the trader’s arsenal — AI crypto trading bots. These intelligent systems don’t just automate trades — ...
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